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every-programmer-should-know

Thu, 25 Sep 2025 15:29:39 +0800

mtdvio/every-programmer-should-know

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Every Programmer Should Know :thinking:

A collection of (mostly) technical things every software developer should know.

:point_up: These are resources I can recommend to every programmer regardless of their skill level or tech stack

Highly opinionated :bomb:. Not backed by science. Comes in no particular order :recycle:

U like it? :star: it and share with a friendly developer! U don’t like it? Watch the doggo :dog:

P.S. You don’t need to know all of that by heart to be a programmer. But knowing the stuff will help you become better! :muscle:

P.P.S. Contributions are welcome!

Introduction

:movie_camera: Map of Computer Science
:movie_camera: 40 Key Computer Science Concepts Explained In Layman’s Terms
:page_facing_up: Computer Science Roadmap

Falsehoods

Awesome Falsehoods 💊 Curated list of falsehoods programmers believe in. Check for things you do not know about Strings, Addresses, Names, Numbers, Emails, Timezones and Dates and more.

Algorithms

Data Structures

RegExp

Security

:book: Security Programming
:page_facing_up: Rolling Your Own Crypto
:page_facing_up: Cryptographic Right Answers
:page_facing_up: An Open Letter to Developers Everywhere (About Cryptography)
:book: Foundations of Security: What Every Programmer Needs to Know
:page_facing_up: OWASP Top 10 - The “gold standard” for web application vulnerabilities.
:page_facing_up: Portswigger Academy - Practical Labs for learning about web application security.
:page_facing_up: Web Application Exploits and Defenses
:page_facing_up: Hashing, Encryption and Encoding

UX/Usability

:book: Don’t Make Me Think: A Common Sense Approach to Web Usability
:movie_camera: Inventing on Principle

SEO

:page_facing_up: What Every Programmer Should Know About SEO

Architecture

:scroll: A Field Guide to Boxology
:scroll: Out of the Tar Pit
:scroll: No Silver Bullet — Essence and Accidents of Software Engineering
:movie_camera: Growing a Language
:movie_camera: CQRS and Event Sourcing
:book: Practical Object Oriented Design in Ruby
:movie_camera: Evolutionary Software Architectures
System Design: A Primer
:page_facing_up: How JavaScript works: part-1, 2, 3, 4
:movie_camera: Entity-Component-System Architecture with Unity by example

Code Design

:page_facing_up: Programming Principles Wiki

Engineering Philosophy

:movie_camera: Category Theory in Life
:movie_camera: Simple Made Easy
:page_facing_up: Speed In Software Development
:movie_camera: #NoEstimates
:movie_camera: The Myth of the Genius Programmer
:movie_camera: Making Badass Developers
:page_facing_up: The Ten Rules of a Zen Programmer
:page_facing_up: The mythical 10x programmer
:page_facing_up: The Debugging Mindset
:movie_camera: The Future of Programming
:page_facing_up: The Good Software Development Manifesto
:movie_camera: All the Little Things
:page_facing_up: Teach Yourself Programming in Ten Years

Practices

:book: Working Effectively with Legacy Code
:book: The Art of Readable Code: Simple and Practical Techniques for Writing Better Code
:book: Code Complete
:book: Clean Code: A Handbook of Agile Software Craftsmanship
:book: Test Driven Development: By Example
:white_check_mark: Going To Production Checklist
:book: Release It!
:book: Professor Frisby’s Mostly Adequate Guide to Functional Programming
:book: SICP: Structure and Interpretation of Computer Programs
:page_facing_up: Thirteen Ways of Looking at a Turtle
:scroll: Programming Paradigms for Dummies: What Every Programmer Should Know
Learn X in Y Minutes Learn the basics of a language in a highly condensed way.
Hyperpolyglot Compare commonly used features of more or less similar languages side-by-side. Helps you to jump Python<->Ruby, Ocaml<->Haskell, etc.
:page_facing_up: Pomodoro for Programmers
:book: Site Reliability Engineering

Career

:moneybag: Levels FYI
Salary stats for various tech companies. Better than Glassdoor.
:page_facing_up: 10 Things Every Programmer Should Know For Their First Job
:page_facing_up: How Much Do Software Engineers Really Make in Each City?
:page_facing_up: Software Engineers Tenure in San Francisco
Software Engineering 101
:book: The Passionate Programmer
:book: Soft Skills: The software developer’s life manual
:book: The Complete Software Developer’s Career Guide
:book: Programming Beyond Practices: Be More Than Just a Code Monkey
A list of European Investors
:page_facing_up: Ten Rules for Negotiating a Job Offer
:page_facing_up: How To Interview As a Developer Candidate
:page_facing_up: How To Get a Tech Job Abroad Faster
:book: How To Be A STAR Engineer
:page_facing_up: TL;DR; Stock Options
:page_facing_up: Equity 101 for Startup Employees
:book: Cracking the Coding Interview: 189 Programming Questions and Solutions
:fire: Everything you need to know to get the job
:book: Tech Interview Handbook
:page_facing_up: Teach Yourself Programming in Ten Years
:page_facing_up: What you should know as a founder of a software company
:movie_camera: Code Interview Prep & Programming Questions | Pramp
:book: 97 things every programmer should know
:movie_camera: A Philosophy of Software Design | John Ousterhout | Talks at Google

Fine-tune Your Resume

:hammer: CV Compiler

Open Source

:globe_with_meridians: Learn how to use Git and GitHub

Remote Work

:globe_with_meridians: Remotive.io: Startups hiring remotely
:globe_with_meridians: Remote Work List for Developers
:zap: NomadList
:book: The Ultimate Guide to Remote Work
:house: Awesome Remote Job

Problem Solving

:book: The Art and Craft of Problem Solving
:book: How to Solve It: A New Aspect of Mathematical Method

Soft Skills

:book: Difficult Conversations
:book: Crucial Conversations
:book: How to Win Friends and Influence People

Mental Health

Awesome Mental Health
A curated list of awesome articles, websites and resources about mental health in the software industry.

Papers on Programming

:heart: Papers We Love
:newspaper: The Morning Paper
📜 What Every Programmer Should Know About Memory
📜 Go To Statement Considered Harmful
:newspaper: Arxiv
:newspaper: Sci-hub

Free Books on Programming

:books: Free Programming Books

Services :zap:

Licenses

Where To Look For Further Info

Platform Engineering

A modern discipline that evolved from DevOps and SRE principles, focused on improving developer experience and productivity by building and managing self-service tools and workflows, often through an Internal Developer Platform (IDP). The goal is to reduce cognitive load on developers and streamline the path to production.

What is Platform Engineering?
- Microsoft Learn: What is platform engineering?
  A comprehensive overview of the practice, its goals, and core capabilities.
- Atlassian: What is Platform Engineering?
  A great explanation of the roles and responsibilities of a platform team.
Internal Developer Platform (IDP)
- internaldeveloperplatform.org: What is an IDP?
  A foundational resource explaining the concept of an IDP as the core product of a platform team.
- Atlassian: Internal Developer Platform Guide
  A deep dive into the benefits and best practices for building an IDP.
Golden Paths (Paved Roads)
- Spotify Engineering: How we use Golden Paths to solve fragmentation
  The original concept from Spotify, explaining how they use “opinionated and supported paths” to guide developers.
- Red Hat: What is a Golden Path for software development?
- A clear article on how Golden Paths provide templates and standardized workflows to increase efficiency.

computer-science

Mon, 08 Sep 2025 15:29:45 +0800

ossu/computer-science

Open Source Society University

Path to a free self-taught education in Computer Science!

Summary

The OSSU curriculum is a complete education in computer science using online materials. It’s not merely for career training or professional development. It’s for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.

It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria.

Courses must:

Be open for enrollment
Run regularly (ideally in self-paced format, otherwise running multiple times per year)
Be of generally high quality in teaching materials and pedagogical principles
Match the curricular standards of the CS 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science

When no course meets the above criteria, the coursework is supplemented with a book. When there are courses or books that don’t fit into the curriculum but are otherwise of high quality, they belong in extras/courses or extras/readings.

Organization. The curriculum is designed as follows:

Intro CS: for students to try out CS and see if it’s right for them
Core CS: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take
Advanced CS: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student’s interests
Final Project: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide

Duration. It is possible to finish within about 2 years if you plan carefully and devote roughly 20 hours/week to your studies. Learners can use this spreadsheet to estimate their end date. Make a copy and input your start date and expected hours per week in the Timeline sheet. As you work through courses you can enter your actual course completion dates in the Curriculum Data sheet and get updated completion estimates.

Warning: While the spreadsheet is a useful tool to estimate the time you need to complete this curriculum, it may not always be up-to-date with the curriculum. Use the OSSU CS website or the repo to see what courses to do.

Cost. All or nearly all course material is available for free. However, some courses may charge money for assignments/tests/projects to be graded. Note that both Coursera and edX offer financial aid.

Decide how much or how little to spend based on your own time and budget; just remember that you can’t purchase success!

Process. Students can work through the curriculum alone or in groups, in order or out of order.

We recommend doing all courses in Core CS, only skipping a course when you are certain that you’ve already learned the material previously.
For simplicity, we recommend working through courses (especially Core CS) in order from top to bottom. Some students choose to study multiple courses at a time in order to vary the material they are working on in a day/week. A popular option is to take the math courses in parallel with the introductory courses. Course prerequisites are listed to help you determine if you are prepared for a given course.
Courses in Advanced CS are electives. Choose one subject (e.g. Advanced programming) you want to become an expert in and take all the courses under that heading. You can also create your own custom subject; the Discord community may provide feedback on your planned subject.

Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Respect the code of conduct that you signed in the beginning of each course!

How to contribute

Getting help (Details about our FAQ and chatroom)

Community

We have a Discord server! This should be your first stop to talk with other OSSU students. Why don’t you introduce yourself right now? Join the OSSU Discord
You can also interact through GitHub issues. If there is a problem with a course, or a change needs to be made to the curriculum, this is the place to start the conversation. Read more here.
Add Open Source Society University to your Linkedin profile!

Warning: There are a few third-party/deprecated/outdated material that you might find when searching for OSSU. We recommend you to ignore them, and only use the OSSU CS website or OSSU CS Github Repo. Some known outdated materials are:

An unmaintained and deprecated firebase app. Read more in the FAQ.

An unmaintained and deprecated trello board

Third-party notion templates

Curriculum

Prerequisites

Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
Advanced CS assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.
Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).

Intro CS

This course will introduce you to the world of computer science and programming. This course gives you a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you!

Topics covered: computation imperative programming basic data structures and algorithms and more

Courses	Duration	Effort	Prerequisites	Discussion
Introduction to Computer Science and Programming using Python	14 weeks	6-10 hours/week	high school algebra	chat

Core CS

All coursework under Core CS is required, unless otherwise indicated.

Core programming

Topics covered: functional programming design for testing program requirements common design patterns unit testing object-oriented design static typing dynamic typing ML-family languages (via Standard ML) Lisp-family languages (via Racket) Ruby and more

Courses	Duration	Effort	Prerequisites	Discussion
Systematic Program Design	13 weeks	8-10 hours/week	none	chat: part 1 / part 2
Class-based Program Design	13 weeks	5-10 hours/week	Systematic Program Design, High School Math	chat
Programming Languages	11 weeks	4-8 hours/week	Systematic Program Design	chat
Object-Oriented Design	13 weeks	5-10 hours/week	Class Based Program Design	chat
Software Architecture	4 weeks	2-5 hours/week	Object Oriented Design	chat

Core math

Discrete math (Math for CS) is a prerequisite and closely related to the study of algorithms and data structures. Calculus both prepares students for discrete math and helps students develop mathematical maturity.

Topics covered: discrete mathematics mathematical proofs basic statistics O-notation discrete probability and more

Courses	Duration	Effort	Notes	Prerequisites	Discussion
Calculus 1A: Differentiation (alternative)	13 weeks	6-10 hours/week	The alternate covers this and the following 2 courses	high school math	chat
Calculus 1B: Integration	13 weeks	5-10 hours/week	-	Calculus 1A	chat
Calculus 1C: Coordinate Systems & Infinite Series	6 weeks	5-10 hours/week	-	Calculus 1B	chat
Mathematics for Computer Science (alternative)	13 weeks	5 hours/week	2015/2019 solutions 2010 solutions 2005 solutions.	Calculus 1C	chat

CS Tools

Understanding theory is important, but you will also be expected to create programs. There are a number of tools that are widely used to make that process easier. Learn them now to ease your future work writing programs.

Topics covered: terminals and shell scripting vim command line environments version control and more

Courses	Duration	Effort	Prerequisites	Discussion
The Missing Semester of Your CS Education	2 weeks	12 hours/week	-	chat

Core systems

Topics covered: procedural programming manual memory management boolean algebra gate logic memory computer architecture assembly machine language virtual machines high-level languages compilers operating systems network protocols and more

Courses	Duration	Effort	Additional Text / Assignments	Prerequisites	Discussion
Build a Modern Computer from First Principles: From Nand to Tetris (alternative)	6 weeks	7-13 hours/week	-	C-like programming language	chat
Build a Modern Computer from First Principles: Nand to Tetris Part II	6 weeks	12-18 hours/week	-	one of these programming languages, From Nand to Tetris Part I	chat
Operating Systems: Three Easy Pieces	10-12 weeks	6-10 hours/week	-	Nand to Tetris Part II	chat
Computer Networking: a Top-Down Approach	8 weeks	4–12 hours/week	Wireshark Labs	algebra, probability, basic CS	chat

Core theory

Topics covered: divide and conquer sorting and searching randomized algorithms graph search shortest paths data structures greedy algorithms minimum spanning trees dynamic programming NP-completeness and more

Courses	Duration	Effort	Prerequisites	Discussion
Divide and Conquer, Sorting and Searching, and Randomized Algorithms	4 weeks	4-8 hours/week	any programming language, Mathematics for Computer Science	chat
Graph Search, Shortest Paths, and Data Structures	4 weeks	4-8 hours/week	Divide and Conquer, Sorting and Searching, and Randomized Algorithms	chat
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	4 weeks	4-8 hours/week	Graph Search, Shortest Paths, and Data Structures	chat
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them	4 weeks	4-8 hours/week	Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	chat

Core security

Topics covered Confidentiality, Integrity, Availability Secure Design Defensive Programming Threats and Attacks Network Security Cryptography and more

Courses	Duration	Effort	Prerequisites	Discussion
Cybersecurity Fundamentals	8 weeks	10-12 hours/week	-	chat
Principles of Secure Coding	4 weeks	4 hours/week	-	chat
Identifying Security Vulnerabilities	4 weeks	4 hours/week	-	chat

Choose one of the following:

Courses	Duration	Effort	Prerequisites	Discussion
Identifying Security Vulnerabilities in C/C++Programming	4 weeks	5 hours/week	-	chat
Exploiting and Securing Vulnerabilities in Java Applications	4 weeks	5 hours/week	-	chat

Core applications

Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling neural networks supervised learning unsupervised learning OpenGL ray tracing and more

Courses	Duration	Effort	Prerequisites	Discussion
Databases: Modeling and Theory	2 weeks	10 hours/week	core programming	chat
Databases: Relational Databases and SQL	2 weeks	10 hours/week	core programming	chat
Databases: Semistructured Data	2 weeks	10 hours/week	core programming	chat
Machine Learning	11 weeks	9 hours/week	Basic coding	chat
Computer Graphics (alternative)	6 weeks	12 hours/week	C++ or Java, Basic Linear Algebra	chat
Software Engineering: Introduction (alternative)	6 weeks	8-10 hours/week	Core Programming, and a sizable project	chat

Core ethics

Topics covered: Social Context Analytical Tools Professional Ethics Intellectual Property Privacy and Civil Liberties and more

Courses	Duration	Effort	Prerequisites	Discussion
Ethics, Technology and Engineering	9 weeks	2 hours/week	none	chat
Introduction to Intellectual Property	4 weeks	2 hours/week	none	chat
Data Privacy Fundamentals	3 weeks	3 hours/week	none	chat

Advanced CS

After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.

Advanced programming

Topics covered: debugging theory and practice goal-oriented programming parallel computing object-oriented analysis and design UML large-scale software architecture and design and more

Courses	Duration	Effort	Prerequisites
Parallel Programming	4 weeks	6-8 hours/week	Scala programming
Compilers	9 weeks	6-8 hours/week	none
Introduction to Haskell	14 weeks	-	-
Learn Prolog Now! (alternative)*	12 weeks	-	-
Software Debugging	8 weeks	6 hours/week	Python, object-oriented programming
Software Testing	4 weeks	6 hours/week	Python, programming experience

(*) book by Blackburn, Bos, Striegnitz (compiled from source, redistributed under CC license)

Advanced systems

Topics covered: digital signaling combinational logic CMOS technologies sequential logic finite state machines processor instruction sets caches pipelining virtualization parallel processing virtual memory synchronization primitives system call interface and more

Courses	Duration	Effort	Prerequisites	Notes
Computation Structures 1: Digital Circuits alternative 1 alternative 2	10 weeks	6 hours/week	Nand2Tetris II	Alternate links contain all 3 courses.
Computation Structures 2: Computer Architecture	10 weeks	6 hours/week	Computation Structures 1	-
Computation Structures 3: Computer Organization	10 weeks	6 hours/week	Computation Structures 2	-

Advanced theory

Topics covered: formal languages Turing machines computability event-driven concurrency automata distributed shared memory consensus algorithms state machine replication computational geometry theory propositional logic relational logic Herbrand logic game trees and more

Courses	Duration	Effort	Prerequisites
Theory of Computation (alternative)	13 weeks	10 hours/week	Mathematics for Computer Science, logic, algorithms
Computational Geometry	16 weeks	8 hours/week	algorithms, C++
Game Theory	8 weeks	3 hours/week	mathematical thinking, probability, calculus

Advanced Information Security

Courses	Duration	Effort	Prerequisites
Web Security Fundamentals	5 weeks	4-6 hours/week	understanding basic web technologies
Security Governance & Compliance	3 weeks	3 hours/week	-
Digital Forensics Concepts	3 weeks	2-3 hours/week	Core Security
Secure Software Development: Requirements, Design, and Reuse	7 weeks	1-2 hours/week	Core Programming and Core Security
Secure Software Development: Implementation	7 weeks	1-2 hours/week	Secure Software Development: Requirements, Design, and Reuse
Secure Software Development: Verification and More Specialized Topics	7 weeks	1-2 hours/week	Secure Software Development: Implementation

Advanced math

Courses	Duration	Effort	Prerequisites	Discussion
Essence of Linear Algebra	-	-	high school math	chat
Linear Algebra	14 weeks	12 hours/week	corequisite: Essence of Linear Algebra	chat
Introduction to Numerical Methods	14 weeks	12 hours/week	Linear Algebra	chat
Introduction to Formal Logic	10 weeks	4-8 hours/week	Set Theory	chat
Probability	15 weeks	5-10 hours/week	Differentiation and Integration	chat

Final project

Part of learning is doing. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.

After you’ve completed Core CS and the parts of Advanced CS relevant to you, you should identify a problem that you can solve using the knowledge you’ve acquired. You can create something entirely new, or you can improve some tool/program that you use and wish were better.

Students who would like more guidance in creating a project may choose to use a series of project oriented courses. Here is a sample of options (many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you):

Courses	Duration	Effort	Prerequisites
Fullstack Open	12 weeks	15 hours/week	programming
Modern Robotics (Specialization)	26 weeks	2-5 hours/week	freshman-level physics, linear algebra, calculus, linear ordinary differential equations
Data Mining (Specialization)	30 weeks	2-5 hours/week	machine learning
Big Data (Specialization)	30 weeks	3-5 hours/week	none
Internet of Things (Specialization)	30 weeks	1-5 hours/week	strong programming
Cloud Computing (Specialization)	30 weeks	2-6 hours/week	C++ programming
Data Science (Specialization)	43 weeks	1-6 hours/week	none
Functional Programming in Scala (Specialization)	29 weeks	4-5 hours/week	One year programming experience
Game Design and Development with Unity 2020 (Specialization)	6 months	5 hours/week	programming, interactive design

Congratulations

After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor’s degree in Computer Science. Congratulations!

What is next for you? The possibilities are boundless and overlapping:

Look for a job as a developer!
Check out the readings for classic books you can read that will sharpen your skills and expand your knowledge.
Join a local developer meetup (e.g. via meetup.com).
Pay attention to emerging technologies in the world of software development:
- Explore the actor model through Elixir, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
- Explore borrowing and lifetimes through Rust, a systems language which achieves memory- and thread-safety without a garbage collector!
- Explore dependent type systems through Idris, a new Haskell-inspired language with unprecedented support for type-driven development.

Code of conduct

OSSU’s code of conduct.

How to show your progress

Fork the GitHub repo into your own GitHub account and put ✅ next to the stuff you’ve completed as you complete it. This can serve as your kanban board and will be faster to implement than any other solution (giving you time to spend on the courses).

Team

Eric Douglas: founder of OSSU
Josh Hanson: lead technical maintainer
Waciuma Wanjohi: lead academic maintainer
Contributors

Java

Wed, 27 Aug 2025 15:27:38 +0800

TheAlgorithms/Java

The Algorithms - Java

You can run and edit the algorithms, or contribute to them using Gitpod.io (a free online development environment) with a single click.

All algorithms are implemented in Java (for educational purposes)

These implementations are intended for learning purposes. As such, they may be less efficient than the Java standard library.

Contribution Guidelines

Please read our Contribution Guidelines before you contribute to this project.

Algorithms

Our directory has the full list of applications.

asm-lessons

Sat, 09 Aug 2025 15:28:18 +0800

FFmpeg/asm-lessons

Welcome to the FFmpeg School of Assembly Language. You have taken the first step on the most interesting, challenging, and rewarding journey in programming. These lessons will give you a grounding in the way assembly language is written in FFmpeg and open your eyes to what’s actually going on in your computer.

Required Knowledge

Knowledge of C, in particular pointers. If you don’t know C, work through The C Programming Language book
High School Mathematics (scalar vs vector, addition, multiplication etc)

Lessons

In this Git repository there are lessons and assignments (not uploaded yet) that correspond with each lessons. By the end of the lessons you’ll be able to contribute to FFmpeg.

A discord server is available to answer questions: https://discord.com/invite/Ks5MhUhqfB

Translations

javascript-algorithms

Mon, 04 Aug 2025 15:39:31 +0800

trekhleb/javascript-algorithms

JavaScript Algorithms and Data Structures

🇺🇦 UKRAINE IS BEING ATTACKED BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED.

Help Ukraine via:

Serhiy Prytula Charity Foundation

Come Back Alive Charity Foundation

National Bank of Ukraine

More info on war.ukraine.ua and MFA of Ukraine

This repository contains JavaScript based examples of many popular algorithms and data structures.

Each algorithm and data structure has its own separate README with related explanations and links for further reading (including ones to YouTube videos).

Read this in other languages: 简体中文, 繁體中文, 한국어, 日本語, Polski, Français, Español, Português, Русский, Türkçe, Italiano, Bahasa Indonesia, Українська, Arabic, Tiếng Việt, Deutsch, Uzbek, עברית

☝ Note that this project is meant to be used for learning and researching purposes only, and it is not meant to be used for production.

Data Structures

A data structure is a particular way of organizing and storing data in a computer so that it can be accessed and modified efficiently. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

Remember that each data has its own trade-offs. And you need to pay attention more to why you’re choosing a certain data structure than to how to implement it.

B - Beginner, A - Advanced

B Linked List
B Doubly Linked List
B Queue
B Stack
B Hash Table
B Heap - max and min heap versions
B Priority Queue
A Trie
A Tree
- A Binary Search Tree
- A AVL Tree
- A Red-Black Tree
- A Segment Tree - with min/max/sum range queries examples
- A Fenwick Tree (Binary Indexed Tree)
A Graph (both directed and undirected)
A Disjoint Set - a union–find data structure or merge–find set
A Bloom Filter
A LRU Cache - Least Recently Used (LRU) cache

Algorithms

An algorithm is an unambiguous specification of how to solve a class of problems. It is a set of rules that precisely define a sequence of operations.

B - Beginner, A - Advanced

Algorithms by Topic

Math
- B Bit Manipulation - set/get/update/clear bits, multiplication/division by two, make negative etc.
- B Binary Floating Point - binary representation of the floating-point numbers.
- B Factorial
- B Fibonacci Number - classic and closed-form versions
- B Prime Factors - finding prime factors and counting them using Hardy-Ramanujan’s theorem
- B Primality Test (trial division method)
- B Euclidean Algorithm - calculate the Greatest Common Divisor (GCD)
- B Least Common Multiple (LCM)
- B Sieve of Eratosthenes - finding all prime numbers up to any given limit
- B Is Power of Two - check if the number is power of two (naive and bitwise algorithms)
- B Pascal’s Triangle
- B Complex Number - complex numbers and basic operations with them
- B Radian & Degree - radians to degree and backwards conversion
- B Fast Powering
- B Horner’s method - polynomial evaluation
- B Matrices - matrices and basic matrix operations (multiplication, transposition, etc.)
- B Euclidean Distance - distance between two points/vectors/matrices
- A Integer Partition
- A Square Root - Newton’s method
- A Liu Hui π Algorithm - approximate π calculations based on N-gons
- A Discrete Fourier Transform - decompose a function of time (a signal) into the frequencies that make it up
Sets
- B Cartesian Product - product of multiple sets
- B Fisher–Yates Shuffle - random permutation of a finite sequence
- A Power Set - all subsets of a set (bitwise, backtracking, and cascading solutions)
- A Permutations (with and without repetitions)
- A Combinations (with and without repetitions)
- A Longest Common Subsequence (LCS)
- A Longest Increasing Subsequence
- A Shortest Common Supersequence (SCS)
- A Knapsack Problem - “0/1” and “Unbound” ones
- A Maximum Subarray - “Brute Force” and “Dynamic Programming” (Kadane’s) versions
- A Combination Sum - find all combinations that form specific sum
Strings
- B Hamming Distance - number of positions at which the symbols are different
- B Palindrome - check if the string is the same in reverse
- A Levenshtein Distance - minimum edit distance between two sequences
- A Knuth–Morris–Pratt Algorithm (KMP Algorithm) - substring search (pattern matching)
- A Z Algorithm - substring search (pattern matching)
- A Rabin Karp Algorithm - substring search
- A Longest Common Substring
- A Regular Expression Matching
Searches
- B Linear Search
- B Jump Search (or Block Search) - search in sorted array
- B Binary Search - search in sorted array
- B Interpolation Search - search in uniformly distributed sorted array
Sorting
- B Bubble Sort
- B Selection Sort
- B Insertion Sort
- B Heap Sort
- B Merge Sort
- B Quicksort - in-place and non-in-place implementations
- B Shellsort
- B Counting Sort
- B Radix Sort
- B Bucket Sort
Linked Lists
- B Straight Traversal
- B Reverse Traversal
Trees
- B Depth-First Search (DFS)
- B Breadth-First Search (BFS)
Graphs
- B Depth-First Search (DFS)
- B Breadth-First Search (BFS)
- B Kruskal’s Algorithm - finding Minimum Spanning Tree (MST) for weighted undirected graph
- A Dijkstra Algorithm - finding the shortest paths to all graph vertices from single vertex
- A Bellman-Ford Algorithm - finding the shortest paths to all graph vertices from single vertex
- A Floyd-Warshall Algorithm - find the shortest paths between all pairs of vertices
- A Detect Cycle - for both directed and undirected graphs (DFS and Disjoint Set based versions)
- A Prim’s Algorithm - finding Minimum Spanning Tree (MST) for weighted undirected graph
- A Topological Sorting - DFS method
- A Articulation Points - Tarjan’s algorithm (DFS based)
- A Bridges - DFS based algorithm
- A Eulerian Path and Eulerian Circuit - Fleury’s algorithm - Visit every edge exactly once
- A Hamiltonian Cycle - Visit every vertex exactly once
- A Strongly Connected Components - Kosaraju’s algorithm
- A Travelling Salesman Problem - shortest possible route that visits each city and returns to the origin city
Cryptography
- B Polynomial Hash - rolling hash function based on polynomial
- B Rail Fence Cipher - a transposition cipher algorithm for encoding messages
- B Caesar Cipher - simple substitution cipher
- B Hill Cipher - substitution cipher based on linear algebra
Machine Learning
- B NanoNeuron - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
- B k-NN - k-nearest neighbors classification algorithm
- B k-Means - k-Means clustering algorithm
Image Processing
- B Seam Carving - content-aware image resizing algorithm
Statistics
- B Weighted Random - select the random item from the list based on items’ weights
Evolutionary algorithms
- A Genetic algorithm - example of how the genetic algorithm may be applied for training the self-parking cars
Uncategorized
- B Tower of Hanoi
- B Square Matrix Rotation - in-place algorithm
- B Jump Game - backtracking, dynamic programming (top-down + bottom-up) and greedy examples
- B Unique Paths - backtracking, dynamic programming and Pascal’s Triangle based examples
- B Rain Terraces - trapping rain water problem (dynamic programming and brute force versions)
- B Recursive Staircase - count the number of ways to reach to the top (4 solutions)
- B Best Time To Buy Sell Stocks - divide and conquer and one-pass examples
- B Valid Parentheses - check if a string has valid parentheses (using stack)
- A N-Queens Problem
- A Knight’s Tour

Algorithms by Paradigm

An algorithmic paradigm is a generic method or approach which underlies the design of a class of algorithms. It is an abstraction higher than the notion of an algorithm, just as an algorithm is an abstraction higher than a computer program.

Brute Force - look at all the possibilities and selects the best solution
- B Linear Search
- B Rain Terraces - trapping rain water problem
- B Recursive Staircase - count the number of ways to reach the top
- A Maximum Subarray
- A Travelling Salesman Problem - shortest possible route that visits each city and returns to the origin city
- A Discrete Fourier Transform - decompose a function of time (a signal) into the frequencies that make it up
Greedy - choose the best option at the current time, without any consideration for the future
- B Jump Game
- A Unbound Knapsack Problem
- A Dijkstra Algorithm - finding the shortest path to all graph vertices
- A Prim’s Algorithm - finding Minimum Spanning Tree (MST) for weighted undirected graph
- A Kruskal’s Algorithm - finding Minimum Spanning Tree (MST) for weighted undirected graph
Divide and Conquer - divide the problem into smaller parts and then solve those parts
- B Binary Search
- B Tower of Hanoi
- B Pascal’s Triangle
- B Euclidean Algorithm - calculate the Greatest Common Divisor (GCD)
- B Merge Sort
- B Quicksort
- B Tree Depth-First Search (DFS)
- B Graph Depth-First Search (DFS)
- B Matrices - generating and traversing the matrices of different shapes
- B Jump Game
- B Fast Powering
- B Best Time To Buy Sell Stocks - divide and conquer and one-pass examples
- A Permutations (with and without repetitions)
- A Combinations (with and without repetitions)
- A Maximum Subarray
Dynamic Programming - build up a solution using previously found sub-solutions
- B Fibonacci Number
- B Jump Game
- B Unique Paths
- B Rain Terraces - trapping rain water problem
- B Recursive Staircase - count the number of ways to reach the top
- B Seam Carving - content-aware image resizing algorithm
- A Levenshtein Distance - minimum edit distance between two sequences
- A Longest Common Subsequence (LCS)
- A Longest Common Substring
- A Longest Increasing Subsequence
- A Shortest Common Supersequence
- A 0/1 Knapsack Problem
- A Integer Partition
- A Maximum Subarray
- A Bellman-Ford Algorithm - finding the shortest path to all graph vertices
- A Floyd-Warshall Algorithm - find the shortest paths between all pairs of vertices
- A Regular Expression Matching
Backtracking - similarly to brute force, try to generate all possible solutions, but each time you generate the next solution, you test if it satisfies all conditions and only then continue generating subsequent solutions. Otherwise, backtrack and go on a different path to finding a solution. Normally the DFS traversal of state-space is being used.
- B Jump Game
- B Unique Paths
- B Power Set - all subsets of a set
- A Hamiltonian Cycle - Visit every vertex exactly once
- A N-Queens Problem
- A Knight’s Tour
- A Combination Sum - find all combinations that form specific sum
Branch & Bound - remember the lowest-cost solution found at each stage of the backtracking search, and use the cost of the lowest-cost solution found so far as a lower bound on the cost of a least-cost solution to the problem in order to discard partial solutions with costs larger than the lowest-cost solution found so far. Normally, BFS traversal in combination with DFS traversal of state-space tree is being used.

How to use this repository

Install all dependencies

`1`	`npm install`

Run ESLint

You may want to run it to check code quality.

`1`	`npm run lint`

Run all tests

`1`	`npm test`

Run tests by name

`1`	`npm test -- 'LinkedList'`

Troubleshooting

If linting or testing is failing, try to delete the node_modules folder and re-install npm packages:

1
2

rm -rf ./node_modules
npm i

Also, make sure that you’re using the correct Node version (>=16). If you’re using nvm for Node version management you may run nvm use from the root folder of the project and the correct version will be picked up.

Playground

You may play with data-structures and algorithms in ./src/playground/playground.js file and write tests for it in ./src/playground/__test__/playground.test.js.

Then just, simply run the following command to test if your playground code works as expected:

`1`	`npm test -- 'playground'`

Useful Information

References

Big O Notation

Big O notation is used to classify algorithms according to how their running time or space requirements grow as the input size grows. On the chart below, you may find the most common orders of growth of algorithms specified in Big O notation.

Source: Big O Cheat Sheet.

Below is the list of some of the most used Big O notations and their performance comparisons against different sizes of the input data.

Big O Notation	Type	Computations for 10 elements	Computations for 100 elements	Computations for 1000 elements
O(1)	Constant	1	1	1
O(log N)	Logarithmic	3	6	9
O(N)	Linear	10	100	1000
O(N log N)	n log(n)	30	600	9000
O(N^2)	Quadratic	100	10000	1000000
O(2^N)	Exponential	1024	1.26e+29	1.07e+301
O(N!)	Factorial	3628800	9.3e+157	4.02e+2567

Data Structure Operations Complexity

Data Structure	Access	Search	Insertion	Deletion	Comments
Array	1	n	n	n
Stack	n	n	1	1
Queue	n	n	1	1
Linked List	n	n	1	n
Hash Table	-	n	n	n	In case of perfect hash function costs would be O(1)
Binary Search Tree	n	n	n	n	In case of balanced tree costs would be O(log(n))
B-Tree	log(n)	log(n)	log(n)	log(n)
Red-Black Tree	log(n)	log(n)	log(n)	log(n)
AVL Tree	log(n)	log(n)	log(n)	log(n)
Bloom Filter	-	1	1	-	False positives are possible while searching

Array Sorting Algorithms Complexity

Name	Best	Average	Worst	Memory	Stable	Comments
Bubble sort	n	n²	n²	1	Yes
Insertion sort	n	n²	n²	1	Yes
Selection sort	n²	n²	n²	1	No
Heap sort	n log(n)	n log(n)	n log(n)	1	No
Merge sort	n log(n)	n log(n)	n log(n)	n	Yes
Quick sort	n log(n)	n log(n)	n²	log(n)	No	Quicksort is usually done in-place with O(log(n)) stack space
Shell sort	n log(n)	depends on gap sequence	n (log(n))²	1	No
Counting sort	n + r	n + r	n + r	n + r	Yes	r - biggest number in array
Radix sort	n * k	n * k	n * k	n + k	Yes	k - length of longest key

Project Backers

You may support this project via ❤️️ GitHub or ❤️️ Patreon.

Folks who are backing this project ∑ = 1

Author

@trekhleb

A few more projects and articles about JavaScript and algorithms on trekhleb.dev

CS-Books

Fri, 11 Jul 2025 15:34:38 +0800

forthespada/CS-Books

超过1000本的计算机经典书籍分享

1、👉 如果国内访问Github网速较慢，我在其余平台也放了一份书籍资源，国内访问速度更快，码云、gitcode

本仓库持续更新中，后续会陆续分享更多经典电子书，强烈建议大家 Star 下本仓库，下次找书可以直接 Ctrl + F，找书再也不愁！

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2、🔥🔥🔥计算机校招求职学习网站

我把自己秋招时的上岸字节跳动的学习笔记做成一个网站了，适用于计算机校招应届生以及毕业三年之内的社招求职党，传送门

#### 3、⭐️编程资源网⭐️

分享一个编程资源网，经常被问去哪里找资源这种问题，我就把我收藏的这个编程资源网分享给大家，其中有很多编程资源，都按照类别划分好了：

编程语言：Java、C++、Golang、Python、前端、其他语言等
计算机基础：操作系统、计算机网络、数据结构与算法、数据库、设计模式；
电子书籍：开源仓库、电子书网站等
….

网站链接：https://tools.interviewguide.cn/home

4、😄学习计算机八九年收集到的一些不错的资料免费分享，包括清华北大计算机课程资源等，点此一键白嫖

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7、😜发现一个相当不错的计算机各类种语言&学科学习路线仓库，点此查看

8、赞赏

这些书籍基本都是我从一个盗版电子书网站上收集到的，网址是：kanshuy1234.com，现在分享出来希望能对大家有所帮助，自己也花了很久时间整理出来的。
如果觉得本仓库有用，赏赐一块钱，买杯奶茶喝可好？感谢您了~

点击下列目录直接跳转书籍所在类别，但有时目录跳转会失灵…如果没有没有正常跳转可以动动小手向下拉即可，全部的书籍都在本页面。

笔者是一个人在维护这个仓库，本地大概是1100多本书了，需要一步步慢慢上传，我只能在闲暇时间慢慢更新，目前已经更新超过500+了，如果没有您要用的书，可以加一下个人微信(coderxiuxiu)，注明来意，我会慢慢添加上去的。一个人的力量是有限的，请谅解一下。

00、C语言

《C程序设计语言（第二版）》百度云链接提取码：2and
《C Primer Plus 中英版》百度云链接提取码：2dox
《征服C指针》百度云链接提取码：c7gx
《C陷阱与缺陷》百度云链接提取码：rq3g
《C和指针中文版》百度云链接提取码：1gt3
《经典C程序100例》百度云链接提取码：juxk
《C专家编程》百度云链接提取码：i4yp
《C语言深度解剖》百度云链接提取码：zekk
《C语言解析教程》百度云链接提取码：ndi3
《C语言函数大全》百度云链接提取码：peou
《C语言程序设计-现代方法》百度云链接提取码：kn4d
《C语言参考手册第五版》百度云链接提取码：0kjd
《C语言编程精粹》百度云链接提取码：tior
《C程序设计语言（第2版新版）及其课后答案》百度云链接提取码：e4zs
《C程序设计语言（第2版英文）及其课后答案》百度云链接提取码：8s3d
《C程序设计语言(英文第2版)Prentice Hall.-.The C Programming Language(2nd Edition)》百度云链接提取码：14x6

01、C++

《阿秀个人在学习C++过程中的笔记，包括黑马C++视频笔记，TCPIP网络编程笔记》百度云链接提取码：fw8s
《6个可以写在简历上的C++项目》百度云链接提取码：sq61
《推荐一个不错的C++项目，我可能是发现这个项目的第一人》百度云链接提取码：s04w
《侯捷C++视频合集-包括C++面向对象开发&STL标准库与源码解析&C++内存管理机制&C++新标准C++11&14》百度云链接提取码：h5if
《陈硕-Linux&C++ 网络编程实践》百度云链接提取码：ubjp
《C++ Primer Plus》百度云链接提取码：zy86
《C++ Primer(第五版)带书签高清完整版》百度云链接提取码：ksax
《C++ Primer 习题集》百度云链接提取码：yjqc
《C++ Primer-第4版》百度云链接提取码：9vox
《C++ Templates》百度云链接提取码：d5at
《STL源码剖析 + 源码》百度云链接提取码：5j2e
《C++编程调试秘笈》百度云链接提取码：9nc3
《侯捷STL课件》百度云链接提取码：3sta
《深度探索C++对象模型》百度云链接提取码：b706
《深入理解C++11》百度云链接提取码：n7rz
《提高C++性能的编程技术.左飞》百度云链接提取码：d2wk
《Effective-C++-第二版》百度云链接提取码：4ha8
《深入理解C++11新特性解析与应用》百度云链接提取码：b9hr
《Effective C++ 第三版高清PDF》百度云链接提取码：drvd
《Effective STL中文版》百度云链接提取码：ifhx
《C++ 编程规范-101条规则准则与最佳实践》百度云链接提取码：evgk
《C++编程思想（两卷合订本）》百度云链接提取码：8sba
《C++并发编程实战》百度云链接提取码：a6tw
《C++沉思录中文第二版》百度云链接提取码：a1lk
《C++程序设计语言》百度云链接提取码：ynhi
《C++ 大学教程》百度云链接提取码：pczs
《C++对象模型》百度云链接提取码：gaa7
《C++工程实践经验课》百度云链接提取码：bzxi
《C++设计新思维-泛型编程与设计之应用》百度云链接提取码：5w6t
《Modern C++ Design》百度云链接提取码：7rcb
《C++实践工程学-陈硕》百度云链接提取码：3dwb
《跟我一起写makefile》百度云链接提取码：ei8h
《C++语言的设计和演化》百度云链接提取码：rii6
《C++标准程序库—自修教程与参考手册》百度云链接提取码：x2g8
《泛型编程与STL中文版》百度云链接提取码：rbcd
《More Exceptional C++中文版》百度云链接提取码：tgcb

02、Java

2.1、Java基础到进阶

《深入分析JavaWeb技术内幕》百度云链接提取码：g1qz
《深入剖析Tomcat》百度云链接提取码：o06x
《Effective Java 2nd Edition 英文版》百度云链接提取码：czeq
《Effective Java 中文第二版》百度云链接提取码：5p9e
《Java性能优化权威指南》百度云链接提取码：9g85
《Java核心技术(卷1）第8版》百度云链接提取码：pmx2
《Java核心技术(卷2）第8版》百度云链接提取码：in8y
《Head First Java第二版涵盖java5.0》百度云链接提取码：qfz2
《Java 8 实战》百度云链接提取码：3ej1
《阿里巴巴Java开发手册、1.0.0公开版》百度云链接提取码：pl9v
《阿里巴巴Java开发手册、1.1.0正式版》百度云链接提取码：zrxy
《阿里巴巴Java开发手册、1.2.0升级版》百度云链接提取码: p350
《阿里巴巴Java开发手册、1.3.0终极版》百度云链接提取码：ycoc
《阿里巴巴Java开发手册、1.4.0详尽版》百度云链接提取码：dya6
《阿里巴巴Java开发手册、华山版》百度云链接提取码：z3fh
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《阿里巴巴Java开发手册、泰山版》百度云链接提取码：6cxz
《Java编程思想（第四版）》百度云链接提取码：ogz5
《Java并发编程的艺术》百度云链接提取码：v8pj
《JAVA并发编程实践》百度云链接提取码：se4k
《Java从小白到大牛精简版》百度云链接提取码：zmer
《Java核心技术卷1基础知识原书第10版》百度云链接提取码：c6d5
《Java核心技术卷2高级特性原书第10版》百度云链接提取码：gjlh
《码出高效：Java开发手册》百度云链接提取码：4i0f
《阿里巴巴Java开发手册v1.2.0》百度云链接提取码：129f
《深入理解Java虚拟机：JVM高级特性与最佳实践（最新第二版）》百度云链接提取码：qbfq
《Camel in Action》百度云链接提取码：kcs0
《Head First Servlet and JSP(高清中文版)》百度云链接提取码：q55k
《Maven实战（高清完整带书签）》百度云链接提取码：4q4a
《Spring 5 Recipes, 4th Edition》百度云链接提取码：o3uk
《Spring in action 中文版（第4版）》百度云链接提取码：daya
《轻量级JavaEE企业应用实战》百度云链接提取码：1rn2
《ThinkInJava（JAVA编程思想）》百度云链接提取码：e5rp
《Head First Java 中文高清版》百度云链接提取码：yry8
《Netty in Action第五版》百度云链接提取码：ty0o
《Java核心知识点整理》百度云链接提取码：3s2p
《Java并发编程实践英语版》百度云链接提取码：9mp0
《Effective Java（中文版第3版）》百度云链接提取码：ruo1
《Netty实战》百度云链接提取码：rd2m
《Spring实战（第4版）》百度云链接提取码：7kfk
《java从入门到精通（第4版）》百度云链接提取码：movm
《Spring.in.Action.5th.Edition》百度云链接提取码：le2h
《Spring 技术内幕》百度云链接提取码：gni3
《Java EE框架整合开发入门到实战：Spring+Spring MVC+MyBatis（微课版）》百度云链接提取码：asxu
《大型网站技术架构：核心原理与案例分析》百度云链接提取码：q0ua
《大话java性能优化》百度云链接提取码：hfeg
《分布式Java应用基础与实践》百度云链接提取码：dv70
《深入理解Java虚拟机：JVM高级特性与最佳实践（第3版）+(华章原创精品)+-+周志明》百度云链接提取码：rs4z
《Java核心技术(卷I)基础知识(原书第9版)》百度云链接提取码：4d76
《深入分析Java Web技术内幕旧版》百度云链接提取码：8s2v
《SSM企业级框架实战》百度云链接提取码：h5p2

2.2、Java 大数据

《大数据架构师指南》百度云链接提取码：vi00
《大数据之路：阿里巴巴大数据实践》百度云链接提取码：xbco
《深入理解Spark：核心思想与源码分析》百度云链接提取码：rkov
《图解Spark 、核心技术与案例实战》百度云链接提取码：kfaj
《Apache+Kylin权威指南》百度云链接提取码：y31o
《Hadoop The Definitive Guide》百度云链接提取码：ws9o
《Hadoop技术内幕：深入理解MapReduce架构设计与实现原理》百度云链接提取码：afhy
《Kafka & Mafka技术分享及讨论》百度云链接提取码：4u7i
《Scala编程中文版(33章全)》百度云链接提取码：6m1n
《Spark大数据处理：技术、应用与性能优化(全)》百度云链接提取码：ghw3
《Spark机器学习》百度云链接提取码：3li7
《Spark快速大数据分析》百度云链接提取码：jlqc
《Spark最佳实践》百度云链接提取码：ziy5
《ClickHouse中文文档》百度云链接提取码：vjb3
《Flink基础教程》百度云链接提取码：7ttp
《CDH集群运维手册》百度云链接提取码：38qp
《Elasticsearch.权威指南（中文版）》百度云链接提取码：fmo0
《Hadoop应用架构》百度云链接提取码：ezgg
《Elasticsearch集成Hadoop最佳实践》百度云链接提取码：eiro
《Apache Spark源码剖析》百度云链接提取码：pe9u
《Flume构建高可用、可扩展的海量日志采集系统》百度云链接提取码：qxc4
《HBase_权威指南》百度云链接提取码：y8bm
《HBase实战中文版》百度云链接提取码：6tek
《Hive编程指南》百度云链接提取码：a88l
《HBase不睡觉书带目录（高清）》百度云链接提取码：wpmv
《Apache Kafka实战》百度云链接提取码：1zdo
《Mahout算法解析与案例实战》百度云链接提取码：0vtf
《Kafka权威指南(2018中文版)》百度云链接提取码：nwrk
《Kafka源码解析与实战》百度云链接提取码：t83m
《MapReduce设计模式 [美.迈纳.舒克著]》百度云链接提取码：flxj
《Spark快速数据处理》百度云链接提取码：4m6s
《spark开发基础之Scala快餐》百度云链接提取码：hxz0
《Lucene实战（第2版）》百度云链接提取码：uot4
《Spark最佳实践陈欢，林世飞著》百度云链接提取码：nmmq
《Spark大数据分析核心概念技术及实践OCR》百度云链接提取码：zbvo
《Storm技术内幕与大数据实践》百度云链接提取码：duju
《Spark内核设计的艺术架构设计与实现（耿嘉安）》百度云链接提取码：xuww
《Presto技术内幕》百度云链接提取码：tsw5
《决战大数据》百度云链接提取码：eu4p
《Apache Kafka源码剖析》百度云链接提取码：qryy
《从Paxos到Zookeeper 分布式一致性原理与实践》百度云链接提取码：6iyn
《可视化数据》百度云链接提取码：f29x
《基于Apache Kylin 构建大数据分析平台》百度云链接提取码：vn2b
《从零开始学Storm》百度云链接提取码：jfrn
《最全的大数据解决方案》百度云链接提取码：me79
《深入学习MongoDB》百度云链接提取码：4qzy
《大数据技术原理与应用概念、存储、处理、分析与应用(第2版)》百度云链接提取码：h10h
《机器学习与数据挖掘方法和应用（经典）》百度云链接提取码：ry6j
《大数据Spark企业级实战版》百度云链接提取码：v6im
《实战Elasticsearch、Logstash、Kibana：分布式大数据搜索与日志挖掘及可视》百度云链接提取码：yrpe
《深入理解Spark 核心思想与源码分析耿嘉安著》百度云链接提取码：z2eu
《相关性搜索：利用Solr与Elasticsearch创建智能应用》百度云链接提取码：its4

2.3、Java工具

《Java常见工具》百度云链接提取码：agnz

03、Python

3.1、Python书籍

《编程小白的第一本Python入门书》百度云链接提取码：bjl4
《笨办法学Python（第三版）》百度云链接提取码：516m
《可爱的Python插图版_文字版》百度云链接提取码：4yln
《A Byte of Python3(中文版)》百度云链接提取码：ic4e
《Python编程：从入门到实践》百度云链接提取码：tvw0
《Python3简明教程》百度云链接提取码：ue6k
《Python编程初学者指南》百度云链接提取码：90t7
《Python编程快速上手让繁琐工作自动化》百度云链接提取码：tpri
《Python编程入门经典》百度云链接提取码：xyv2
《Python3.5.2-入门指南-高清》百度云链接提取码：ttgn
《Python3.5.1入门指南中文版-带书签目录》百度云链接提取码：chaa
《Deep Learning With Python》百度云链接提取码：gw8c
《NumPy Basics》百度云链接提取码：3prf
《Pandas Basics》百度云链接提取码：oqwg
《笨办法学Python（第四版）》百度云链接提取码：zr14
《Python Cookbook（第3版）中文版》百度云链接提取码：8gsx
《Python操作word,excel,pdf》百度云链接提取码：foas
《Python高级编程第2版张亮阿信（译）完整版》百度云链接提取码：ydku
《Python核心编程第3版中文版》百度云链接提取码：umlb
《Python核心编程翻译版第二版》百度云链接提取码：5gg3
《Python灰帽子—黑客与逆向工程师的Python编程之道》百度云链接提取码：9vo0
《Python基础教程（第二版）》百度云链接提取码：r10m
《Python开发技术详解》百度云链接提取码：r6ca
《Python开发实战》百度云链接提取码：9qce
《Python入门教材(中文)》百度云链接提取码：d90e
《Python数据处理》百度云链接提取码：yqvb
《Python网络编程基础》百度云链接提取码：neke
《Python学习手册(第4版)》百度云链接提取码：gsio
《Python正则表达式-深入浅出》百度云链接提取码：sw5p
《Python知识手册-V2.0.1》百度云链接提取码：98a6
《Django.JavaScript.Integration.AJAX.and.jQuery》百度云链接提取码：tiup
《mod_python手册》百度云链接提取码：q42d
《python-basic》百度云链接提取码：1abg
《Python.Essential.Reference,3rd.Edition》百度云链接提取码：hhkc
《Python.UNIX和Linux系统管理指南》百度云链接提取码：lno0
《Head_First_Python（中文版）》百度云链接提取码：45kr
《Python.Cookbook(第2版)中文版》百度云链接提取码：zsw4
《Python技术参考大全》百度云链接提取码：mugz
《Python入门指南 2.5b》百度云链接提取码：82s3
《Python3程序开发指南.第二版(带书签)》百度云链接提取码：gepi
《python标准库中文版PDF(带章节书签)》百度云链接提取码：dnxu
《Python参考手册(第4版)》百度云链接提取码：azjk
《python程序员指南中文版》百度云链接提取码：0ia6
《Python学习手册(第3版)》百度云链接提取码：2pla
《think-python》百度云链接提取码：vt8r
《think python2》百度云链接提取码: vaof
《Python技术手册(第2版)》百度云链接提取码：iovv
《Python进阶》百度云链接提取码：4f3r
《python编程金典》百度云链接提取码：q3mu
《Python高级编程》百度云链接提取码：gi6z

3.2、Python爬虫

《Python3网络爬虫数据采集》百度云链接提取码：jkk3
《精通Scrapy网络爬虫、刘硕》百度云链接提取码：0f1v
《用Python写网络爬虫》百度云链接提取码：657p
《Python和数据分析》百度云链接提取码：wmlk
《Data Structures and Algorithms in Python [Goodrich, Tamassia & Goldwasser 2013-03-18]》百度云链接提取码：41qe

3.3、Python数据分析

《B站-七周成为数据分析师》百度云链接提取码：iw7k
《B站-Python3数据分析与挖掘建模实战》百度云链接提取码：q43k
《B站_用Tableau做数据分析》百度云链接提取码：v1l2
《Python for Data Analysis》百度云链接提取码：fdla
《Python金融大数据分析》百度云链接提取码：8bb7
《Python科学计算与数据分析》百度云链接提取码：yu6t
《Python数据分析基础》百度云链接提取码：n5et
《利用Python进行数据分析》百度云链接提取码：o5jb
《Python数据分析基础教程：NumPy学习指南（第2版）》百度云链接提取码：lq48
《Python数据分析实战_2016版》百度云链接提取码：0yue
《Python数据分析与挖掘实战》百度云链接提取码：8qjq
《Tableau：数据可视化之极速BI》百度云链接提取码：59ey
《Tableau：数据可视化之极速BI数据源》百度云链接提取码：kdrw
《Tableau商业智能与可视化应用实战》百度云链接提取码：ptkp
《Python数据分析14天入门训练营》课程资料百度云链接提取码：sr2z
《触手可及的大数据分析工具：Tableau案例集数据源》百度云链接提取码：ff3n
《触手可及的大数据分析工具 Tableau案例集》百度云链接提取码：pjym
《大数据分析精品资料》百度云链接提取码：fs3o
《利用Python进行数据分析-第二版》百度云链接提取码：2hdl
《人人都是数据分析师：Tableau应用实战》百度云链接提取码：yfq7
《数据分析实战》百度云链接提取码：7sw2
《数据分析修炼手册》百度云链接提取码：qfs7
《数据分析学习顺序》百度云链接提取码：9dy8
《增长黑客_创业公司的用户与收入增长秘籍、范冰》百度云链接提取码：llq2

3.4、Python数据可视化

《Python数据可视化编程实战》百度云链接提取码：iglx
《数据可视化之美》百度云链接提取码：snio

3.5、Python数据挖掘

《Python编程-数据挖掘入门与实践(中文完整版)-图灵程序》百度云链接提取码：22c2
《Python数据挖掘入门与实践》百度云链接提取码：1r46
《数据挖掘导论、完整版》百度云链接提取码：c8dx
《数据挖掘原理与算法》百度云链接提取码：yx67

04、Go语言

《Go Web 编程》百度云链接提取码：h9qu
《Go并发编程实战》百度云链接提取码：7t2d
《Go语言编程》百度云链接提取码：o2fn
《Go语言标准库参考》百度云链接提取码：ygbj
《Go语言程序设计》百度云链接提取码：rbuo
《Go语言圣经》百度云链接提取码：7qhr
《Go语言实战》百度云链接提取码：aqjp
《Go语言学习笔记》百度云链接提取码：zj1d
《学习 Go 语言(Golang)》百度云链接提取码：d98t

05、数据结构与算法

《谷歌大佬总结的三本LeetCode刷题笔记，支持Java、C++、Go三种语言》百度云链接提取码：ujuc
《啊哈！算法哈磊》百度云链接提取码：5fop
《大话数据结构》百度云链接提取码：ehu4
《背包九讲》百度云链接提取码：8ioa
《带你快速刷完67道剑指offer》百度云链接提取码：dxm0
《编程之美-完整版》百度云链接提取码：yumy
《编程珠玑第二版人民邮电出版社》百度云链接提取码：gqg5
《编程珠玑英文第二版-Programming.Pearls》百度云链接提取码：xsdt
《程序员代码面试指南 IT名企算法与数据结构题目最优解（左程云著）》百度云链接提取码：p6r8
《程序员的算法趣题》百度云链接提取码：1r8q
《程序员面试金典》百度云链接提取码：7k9q
《计算机程序设计艺术卷1：基本算法》百度云链接提取码：4ey6
《计算机程序设计艺术卷2：半数值算法》百度云链接提取码：tmep
《计算机程序设计艺术卷3：排序与查找》百度云链接提取码：ebud
《剑指Offer》百度云链接提取码：20z4
《漫画算法：小灰的算法之旅》百度云链接提取码：2fof
《妙趣横生的算法（C语言实现第2版）》百度云链接提取码：uvm8
《数据结构-C语言严蔚敏 pdf》百度云链接提取码：g0o5
《严蔚敏：数据结构题集(C语言版)》百度云链接提取码：u7m0
《数据结构与算法 Python语言描述_裘宗燕》百度云链接提取码：1c9u
《数据结构与算法分析C++描述》百度云链接提取码：nhnz
《数据结构与算法分析—Java语言描述》百度云链接提取码：cyn6
《数据结构与算法分析：C语言描述原书第2版高清版》百度云链接提取码：gy53
《算法（第4版）》百度云链接提取码：e65w
《算法导论原书第3版》百度云链接提取码：xl63
《算法导论中文版》百度云链接提取码：okm5
《算法分析与设计》百度云链接提取码：mmcx
《算法谜题》百度云链接提取码：tq0f
《算法图解》百度云链接提取码：i2k7
《挑战程序设计竞赛(第1版)》百度云链接提取码：gm3c
《挑战程序设计竞赛(第2版)》百度云链接提取码：app8
《Cookbook-LeetCode》百度云链接提取码：evzs
《Cormen-Introduction to Algorithms》百度云链接提取码：unt9
《JavaScrit数据结构与算法（第2版）》百度云链接提取码：sbxc
《Java数据结构和算法.（第二版）》百度云链接提取码：owjm
《labuladong的算法小抄官方完整版》百度云链接提取码：x3uv
《Sedgewick-Algorithms》百度云链接提取码：reyi
《Data-Structures-Problem-Solving-Using-Java》百度云链接提取码：mkvu
《leetcode-solution》百度云链接提取码：zfdq
《算法竞赛入门经典训练指南》百度云链接提取码：ktkh
《算法竞赛入门经典及答案》百度云链接提取码：hw1u
《分布式算法导论》百度云链接提取码：i8oy
《算法之道》百度云链接提取码：f2td
《C++数据结构与算法（第4版）带书签目录完整版》百度云链接提取码：6yyw
《趣学算法》百度云链接提取码：lkah

06、操作系统

《深入理解计算机系统第3版》百度云链接提取码：rqey
《现代操作系统、英文版》百度云链接提取码：9kvb
《现代操作系统（第三版）中文版》百度云链接提取码：qmfc
《30天自制操作系统 (图灵程序设计丛书)》百度云链接提取码：vtbf
《操作系统设计与实现》百度云链接提取码：fvo8
《操作系统真象还原》百度云链接提取码：blrx
《操作系统精髓与设计原理第6版》百度云链接提取码：y7pk
《操作系统精髓与设计原理第8版》百度云链接提取码：buzn
《自己动手写操作系统》百度云链接提取码：zzvy
《CMU2017-Lab》百度云链接提取码：fabh
《Compilers_ Principles, Techniques, and Tools》百度云链接提取码：o3h5
《Computer Systems_ A Programmer’s Perspective》百度云链接提取码：p5kp
《Orange’s一个操作系统的实现》百度云链接提取码：u6ic
《编译原理》百度云链接提取码：8i54
《操作系统概念、英文版》百度云链接提取码：2rof
《操作系统概念》百度云链接提取码：u3by
《操作系统概述、公众号资源》百度云链接提取码：apgg
《操作系统之哲学原理第2版》百度云链接提取码：xzzn
《分布式系统概念与设计原书第5版》百度云链接提取码：r2wn
《计算机系统要素、从零开始构建现代计算机》百度云链接提取码：hylp

07、Linux

《Linux 内核设计与实现》百度云链接提取码：1f28
《Linux UNIX系统编程手册、上》百度云链接提取码：htnh
《Linux UNIX系统编程手册、下》百度云链接提取码：lxd4
《UNIX网络编程卷1：套接字 API》百度云链接提取码：3g7h
《UNIX网络编程卷2：进程间通信》百度云链接提取码：7anx
《UNIX环境高级编程第三版》百度云链接提取码：eb50
《《UNIX系统编程手册上》.((德)Michael Kerrisk ).[PDF]@ckook》百度云链接提取码：2gkj
《《UNIX系统编程手册下》.((德)Michael Kerrisk ).[PDF]@ckook》百度云链接提取码：wtyp
《Linux宝典》百度云链接提取码：225z
《Linux常用命令大全》百度云链接提取码：8b4u
《LINUX防火墙（原书第3版）》百度云链接提取码：o9md
《Linux高级程序设计中文第三版杨宗德、人电出版社》百度云链接提取码：4cms
《Linux环境编程：从应用到内核》百度云链接提取码：8v8w
《Linux内核设计与实现第3版》百度云链接提取码：vzmc
《Linux内核完全注释》百度云链接提取码：wr95
《Linux系统命令及shell脚本实践指南Linux unix技术丛书》百度云链接提取码：gygv
《Unix & Linux 大学教程》百度云链接提取码：thfb
《汇编语言基于Linux环境第3版》百度云链接提取码：0357
《鸟哥的Linux私房菜基础篇和服务器篇》百度云链接提取码：kbpi
《深入Linux内核架构 (图灵程序设计丛书·Linux UNIX系列)》百度云链接提取码：6int
《深入理解Linux内核》百度云链接提取码：sm3l
《[Linux命令详解词典].施威铭研究室.扫描版》百度云链接提取码：oc3u
《Advanced Programming in the UNIX® Environment》百度云链接提取码：sm6b
《Harley Hahn’s Guide to UNIX and Linux》百度云链接提取码：99c1
《Linux Kernel Development》百度云链接提取码：rvnn
《Linux多线程服务端编程书签高清非扫描、陈硕》百度云链接提取码：5kq1
《Linux网络编程》百度云链接提取码：vdbg
《Linux高性能服务器编程》百度云链接提取码：jt32
《Unix-Linux编程实践教程》百度云链接提取码：w5p1
《UNIX编程艺术-中文版【The+Art+of+UNIX+Programming】》百度云链接提取码：8hhc

08、后端架构

《Redis开发与运维(付磊)》百度云链接提取码：rtow
《后台开发》百度云链接提取码：7k53
《后台开发核心技术与应用实践高清PDF》百度云链接提取码：syau
《深入理解Nginx模块开发与架构解析第2版》百度云链接提取码：o14w
《Kafka权威指南》百度云链接提取码：pn4r
《RabbitMQ实战指南》百度云链接提取码：l0xj

09、计算机系统知识

《大话计算机》百度云链接提取码：9jc8
《编码：隐匿在计算机软硬件背后的语言》百度云链接提取码：60p1
《程序是怎样跑起来的》百度云链接提取码：u30m
《计算机是怎样跑起来的》百度云链接提取码：uwfk
《程序员的自我修养—链接、装载与库、书签目录版本》百度云链接提取码：ivmv
《计算机组成与设计：硬件_软件接口》百度云链接提取码：dhda
《Patterson-Computer Organization and Design_The Hardware_Software Interface》百度云链接提取码：zn24
《Code、The Hidden Language of Computer Hardware and Software》百度云链接提取码：pytl
《计算机组成结构化方法中文第6版》百度云链接提取码：c1qy

10、计算机网络

《计算机网络-自顶向下方法-第6版》百度云链接提取码：oj35
《计算机网络：自顶向下方法课后习题参考答案》百度云链接提取码：d25h
《HTTP核心总结》百度云链接提取码：2fk9
《HTTP权威指南》百度云链接提取码：1jhn
《TCPIP详解三部曲卷1：协议》百度云链接提取码：j2iq
《TCPIP详解三部曲卷2：实现》百度云链接提取码：r1cl
《TCPIP详解三部曲卷3》百度云链接提取码：zee6
《TCP源码分析》百度云链接提取码：dhlo
《Wireshark 数据包分析实战（第二版）》百度云链接提取码：shyo
《Wireshark网络分析的艺术》百度云链接提取码：lljf
《Wireshark网络分析就这么简单》百度云链接提取码：9j5j
《计算机网络第七版》百度云链接提取码：89yv
《计算机网络：系统方法》百度云链接提取码：uhke
《图解HTTP》百度云链接提取码：faxi
《图解TCPIP(第5版)》百度云链接提取码：j86n
《网络是怎样连接的 (图灵程序设计丛书)》百度云链接提取码：vhm1
《Computer Networking_ A Top-down Approach》百度云链接提取码：ewr3
《Computer Networks, A Systems Approach》百度云链接提取码：o98i

11、数据库

《MySQL必知必会 PDF + 源码》百度云链接提取码：45id
《数据库系统实现（第二版）》百度云链接提取码：hjds
《高性能MySQL（第3版）].Baron.Scbwartz等.扫描版》百度云链接提取码：nszh
《深入浅出MySQL++数据库开发、优化与管理维护+第2版+唐汉明》百度云链接提取码：a0uo
《数据库系统概念》百度云链接提取码：eugi
《Database System Concepts》百度云链接提取码：1u2u
《MongoDB权威指南》百度云链接提取码：vcca
《MySQL技术内幕 InnoDB存储引擎第2版》百度云链接提取码：c9qa
《Redis设计与实现》百度云链接提取码：r7r6
《Redis实战》百度云链接提取码：eebx
《Redis开发与运维》百度云链接提取码：ot6f
《SQLite 权威指南》百度云链接提取码：5bh2
《SQL查询的艺术》百度云链接提取码：tsfm
《分布式数据库系统大数据时代新型数据库技术》百度云链接提取码：zsxl
《分布式数据库系统原理.第3版》百度云链接提取码：xkv4
《数据库系统概念中文第6版》百度云链接提取码：fupf
《Nosql数据库入门》百度云链接提取码：ll6k
《MySQL5.5从零开始学》百度云链接提取码：3u1c
《NoSQL精粹_中文完整版》百度云链接提取码：vwcg
《Redis入门指南》百度云链接提取码：wcga
《数据库原理、应用与实践（SQL Server）》百度云链接提取码：mgw3

12、前端&全栈

《[HTML与CSS入门经典(第7版)].（美）奥利弗，（美）莫里森.扫描版》百度云链接提取码：t8lj
《[JavaScript.DOM编程艺术（第2版）]》百度云链接提取码：gpaz
《Bootstrap实战》百度云链接提取码：7xtf
《HTML5揭秘》百度云链接提取码：v9qw
《HTML5与CSS3基础教程（第8版）》百度云链接提取码：9i5k
《Javascript 高效图形编程-中文版》百度云链接提取码：ksmm
《javascript高级程序设计》百度云链接提取码：zmz4
《jQuery高级编程，中文完整扫描版》百度云链接提取码：x1wi
《jQuery技术内幕深入解析jQuery架构设计与实现原理》百度云链接提取码：1e3e
《jQuery权威指南》百度云链接提取码：tflj
《Node.js开发指南》百度云链接提取码：r1oj
《nodebook》百度云链接提取码：himg
《JavaScript高级程序设计（第3版）中文高清》百度云链接提取码：uus7
《疯狂AJAX讲义》百度云链接提取码：w85h
《深入浅出Node.js》百度云链接提取码：cmkj

13、安卓IOS逆向

《Android软件安全与逆向分析》百度云链接提取码：wmnt
《IOS应有逆向工程：分析与实战》百度云链接提取码：q9co
《逆向工程核心原理》百度云链接提取码：j0qg

14、机器学习&深度学习&人工智能

14.1、机器学习

《Python机器学习及实践－从零开始通往KAGGLE竞赛之路》百度云链接提取码：5tei
《Python机器学习经典实例》百度云链接提取码：clxi
《Python神经网络编程高清版》百度云链接提取码：lw2j
《Python数据科学手册》百度云链接提取码：pps1
《贝叶斯思维统计建模的Python学习法》百度云链接提取码：h9tf
《机器学习7》百度云链接提取码：bbcs
《机器学习_周志华》百度云链接提取码：pgyb
《机器学习numpy和pandas基础》百度云链接提取码：1i2k
《机器学习导论》百度云链接提取码：dylv
《机器学习实战》百度云链接提取码：94sv
《集体智慧编程》百度云链接提取码：xf8i
《数据科学入门》百度云链接提取码：mo58
《数据科学与大数据(英文版)》百度云链接提取码：r0v6
《统计学个人笔记》百度云链接提取码：luao
《统计学习方法-李航》百度云链接提取码：digx
《图解机器学习》百度云链接提取码：1r22
《推荐系统实践》百度云链接提取码：d7xu
《Scala机器学习》百度云链接提取码：wy2c
《Spark+MLlib机器学习实践+_王晓华》百度云链接提取码：z6ig
《机器学习(清晰)》百度云链接提取码：6jab
《机器学习常见面试题》百度云链接提取码：wa3t
《Python+Spark 2.0+Hadoop机器学习与大数据实战_林大贵(著)》百度云链接提取码：1jkd
《Spark MLlib机器学习_黄美灵》百度云链接提取码：gk6z
《百面_机器学习算法工程师带你去面试。清晰版带书签》百度云链接提取码：0q1f
《机器学习与R语言》百度云链接提取码：dj4g
《白话大数据与机器学习》百度云链接提取码：ryqa

14.2、深度学习

《Deeplearning深度学习笔记最新版》百度云链接提取码：xn7v
《Python深度学习》百度云链接提取码：e2ia
《常用推荐算法（50页干货）》百度云链接提取码：o747
《动手学深度学习-李沐》百度云链接提取码：xefc
《深度学习(最全的中文版)_2017年新书》百度云链接提取码：rjtr
《深度学习500问》百度云链接提取码：emzm
《深度学习_中文版》百度云链接提取码：ippy
《深度学习框架》百度云链接提取码：sko2
《深度学习入门：基于Python的理论与实现.pdf+代码》百度云链接提取码：vub4
《神经网络与深度学习》百度云链接提取码：ifjq
《【高扬】白话深度学习姊妹篇、白话大数据与ML》百度云链接提取码：kra4
《Keras》百度云链接提取码：4d41
《Keras中文手册》百度云链接提取码：cncz
《Programming-PyTorch-for-Deep-Learning.Creating-》百度云链接提取码：sss5
《Tensorflow 实战Google深度学习框架（完整版pdf)》百度云链接提取码：pvkt
《TensorFlow斯坦福大学-深度学习基础教程[aibbt.com]》百度云链接提取码：5lgw
《TensorFlow 官方文档中文版、v1.2[aibbt.com]》百度云链接提取码：wkid
《TensorFlow技术解析与实战.李嘉璇》百度云链接提取码：kw18
《面向机器智的TensorFlow实践》百度云链接提取码：jid6
《TensorFlow面向机器智能的TensorFlow实践 (智能系统与技术丛书)_[aibbt.com]》百度云链接提取码：a4oa
《TensorFlow实战_黄文坚（完整）[aibbt.com]》百度云链接提取码：eimo
《新版深度学习》百度云链接提取码：l60i

14.3、OpenCv

《OpenCV-Python-Tutorial-中文版20160814》百度云链接提取码：138m
《学习OpenCV 3 中文版》百度云链接提取码：1z20

14.4、计算机视觉(CV)

《Computer vision》百度云链接提取码：p3la
《Python计算机视觉》百度云链接提取码：d4fk
《图像处理分析与机器视觉(最新版)》百度云链接提取码：ukvz

14.5、自然语言处理(NLP)

《deep_learning_for_nlp》百度云链接提取码：fhq3
《Embedding Methods for NLP emnlp tutorial》百度云链接提取码：0bcg
《Python自然语言处理中文翻译 NLTK 中文版》百度云链接提取码：cew3
《Writing Code for NLP Research-1》百度云链接提取码：vexm
《斯坦福CS224n 自然语言处理与深度学习、笔记 hankcs》百度云链接提取码：hihe
《语音与语言处理Speech+and+Language+Processing》百度云链接提取码：hweq

15、设计模式

《大话设计模式》百度云链接提取码：4o24
《HeadFirst设计模式（中文版）》百度云链接提取码：5c3f
《图解设计模式》百度云链接提取码：ih0f
《研磨设计模式》百度云链接提取码：wafq
《常见设计模式解析与实现、C++版》百度云链接提取码：3q7d
《敏捷开发-设计模式》百度云链接提取码：h1xq
《head first design patterns》百度云链接提取码：err5
《设计模式之禅（第2版）》百度云链接提取码：m68r

16、汇编语言

《x86汇编语言：从实模式到保护模式_书籍及配套资料》百度云链接提取码：ne7j
《汇编语言_王爽及相关资料》百度云链接提取码：cx9w
《老“码”识途从机器码到框架的系统观逆向修炼之路》百度云链接提取码：b773
《80x86汇编语言程序设计教程》百度云链接提取码：eogv

17、Git

《Git参考手册-新》百度云链接提取码：amrb
《从0开始学习GitHub系列》百度云链接提取码：uhcw
《专业git中文》百度云链接提取码：4q2z
《Git权威指南》百度云链接提取码：yj4c

18、数学相关

《程序员的数学卷1、清晰版》百度云链接提取码：4ztn
《程序员的数学卷2、概率统计》百度云链接提取码：7o4m
《程序员的数学卷3、线性统计》百度云链接提取码：3kq6
《计算复杂性：现代方法》百度云链接提取码：yu3m
《离散数学及其应用》百度云链接提取码：gcbx
《数学之美》百度云链接提取码：vxqr
《Computational Complexity_ A Modern Approach》百度云链接提取码：vq08
《Discrete Mathematics and Its Applications》百度云链接提取码：fuox
《Operations Research Applications And Algorithms》百度云链接提取码：lrou
《概率论与数理统计、陈希孺》百度云链接提取码：iks9

19、程序员软技能

《码农翻身：用故事给技术加点料_刘欣》百度云链接提取码：t2di
《奔跑吧，程序员：从零开始打造产品、技术和团队》百度云链接提取码：yx4j
《代码大全2中文版》百度云链接提取码：0lml
《代码整洁之道》百度云链接提取码：3c81
《黑客与画家》百度云链接提取码：1i8c
《浪潮之巅（完整版）》百度云链接提取码：ikcl
《敏捷软件开发：原则、模式与实践》百度云链接提取码：sw72
《重构：改善既有代码的设计（第2版）》百度云链接提取码：kbup
《how-to-be-a-programmer-cn》百度云链接提取码：ns57
《华为大数据应用开发指南》百度云链接提取码：2snr
《华为金融大数据解决方案汇报V2.0》百度云链接提取码：s9zi
《人月神话-中文-目录-文字版》百度云链接提取码：vumo
《孙金城丨阿里巴巴-Blink SQL关键技术及实现原理》百度云链接提取码：6mjd
《程序员健康指南》百度云链接提取码：0bxr
《概念与技术（第3版）》百度云链接提取码：oolp
《技术之瞳+阿里巴巴技术笔试心得》百度云链接提取码：978f
《阿里双十一技术》百度云链接提取码：y5dd
《程序开发心理学》百度云链接提取码：1a20
《大数据之路：阿里巴巴大数据实践》百度云链接提取码：8uvo
《软件工程-实践者的研究方法.8th》百度云链接提取码：qb99

20、其余资料

《精通正则表达式》百度云链接提取码：4xum
《深入浅出谈CUDA》百度云链接提取码：rnzq
《数字信号处理教程第3版 by 程佩青 (z-lib.org)》百度云链接提取码：qn5b
《微服务设计中文完整版》百度云链接提取码：7qp6
《kotlin-for-android-developers-zh》百度云链接提取码：numu
《kotlin-in-chinese》百度云链接提取码：cf9o
《Kubernetes权威指南第2版》百度云链接提取码：lke6
《progit2》百度云链接提取码：edtb
《区块链+将如何重新定义世界》百度云链接提取码：twnt
《数字图像处理第二版中文版（冈萨雷斯）》百度云链接提取码：40t2
《图像工程(第二版)》百度云链接提取码：8iom
《时间序列分析及应用：R语言（原书第2版）》百度云链接提取码：sc0q
《特征提取与图像处理(第二版)》百度云链接提取码：baid
《Unity3D／2D游戏开发从0到1》百度云链接提取码：5tih
《第一本Docker书》百度云链接提取码：v781
《精通比特幣》百度云链接提取码：yn8l
《计算机图形学第4版》百度云链接提取码：6qbr
《数据挖掘、推理与预测》百度云链接提取码：5fv5

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免责声明

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本仓库仅作学习交流分享使用，不作任何商用。

ciencia-da-computacao

Sun, 06 Jul 2025 15:27:18 +0800

Universidade-Livre/ciencia-da-computacao

Universidade Brasileira Livre

Um caminho para a educação autodidata em Ciência da Computação!

Conteúdos

Sumário

O Curso de Ciência da Computação oferecido pela Universidade Livre Brasileira é uma educação completa em Ciência da Computação usando materiais on-line e em Português do Brasil. Este Curso não é pensado para treinamento em tecnologias específicas ou focado em habilidades profissionais direcionadas ao mercado, e sim para aqueles que desejam uma educação própria, com qualidade, fundada nos conceitos fundamentais da computação e é planejada para alunos com disciplina, comprometimento e (o mais importante) bons hábitos de estudo majoritariamente independentes, mas que buscam o suporte de uma comunidade de outros estudantes no Brasil todo.

Este curso contém conteúdos que seriam vistos em um curso de Ciência da Computação organizados de forma estruturada. Os cursos em si são selecionados primariamente do conteúdo aberto de diversas Universidades e Institutos de Educação do Brasil. Entretanto, os cursos presentes na grade seguem os seguintes critérios:

Bases para a criação do Currículo (Guidelines):

Levamos em consideração - apesar de não termos implementado completamente conforme sugerido - os seguintes documentos sobre a formação de um currículo em Ciência da Computação. Continuaremos constantemente trabalhando e aceitando sugestões de melhorias para cada vez mais oferecer uma experiência melhor para todos os estudantes que seguem nosso guia aberto de conteúdos. Além das referências abaixo, também utilizamos como referência as grades curriculares de outras instituições de ensino superior brasileiras.

Os Cursos devem:

Ser gratuitos ou de conteúdo que possa ser assistido de forma aberta
Possuir método pedagógico
Ter reconhecimento de qualidade da Comunidade sobre o tema
Estar de acordo com o que se espera do Currículo de Ciências da Computação

Todas as disciplinas possuem uma lista de leituras recomendadas. É de sua responsabilidade escolher a metodologia mais adequada. Note que os livros, em sua maioria, não são gratuitos.

Cursos de qualidade recomendados que não se encaixam na grade serão adicionados em cursos extras. O mesmo ocorrerá quanto aos livros em livros extras.

Todos os cursos podem ser completados de forma gratuita. Porém, alguns cursos têm diplomas, certificados, atividades, ou extras opcionais que são pagos. Observe que o Coursera oferece ajuda financeira.

Os estudantes podem fazer as disciplinas individualmente ou em grupo, seguindo a ordem que estabelecemos ou não, sempre respeitando os pré-requisitos curriculares.

Apenas publique em seu GitHub e espaços públicos os materiais que seu Curso permite que sejam publicados. Nunca desrespeite nenhuma regra do curso em que se matriculou e nunca faça plágios!

Como contribuir

Conseguindo ajuda (Detalhes sobre o FAQ e servidor)

Comunidade

Temos um servidor no Discord! Nele, você poderá encontrar e interagir com outros estudantes. Por que não se apresenta lá agora mesmo? Vem para o Discord.
Você também pode interagir sobre questões a respeito dos problemas do Curso, propor mudanças de Currículo e outras coisas relacionadas por meio das nossas issues. Sinta-se à vontade para abrir discussões lá.
Adicione a Universidade Brasileira Livre no seu perfil do LinkedIn!

Antes de começar

Há tópicos que, apesar de não serem essenciais na formação de Ciência da Computação, podem ser muito úteis na sua jornada de aprendizado. Se desejar, você pode optar por ignorá-los momentaneamente e revisá-los posteriormente.

Técnicas de estudo, organização e aprendizagem

Antes de começar a estudar é importante que você aprenda algumas coisas importantes. Ser autodidata não é sobre aprender sozinho, nem sobre não estar vinculado à uma Instituição de Ensino Superior (IES), mas sobre ser responsável pelo seu próprio ensino e isso é algo que exige saber como estudar, o quanto estudar, e como organizar seus estudos. Para isso, recomendamos os seguintes conteúdos abaixo.

Curso	Conteúdos
Aprendendo a aprender ¹	Memória; Técnicas de estudo; Recursos de estudo.
Como estudar do jeito certo	Tempo; Técnica; Discussão.

¹ Disponível com legendas em Português.

Git e GitHub

Conhecer ferramentas como o Git o ajudará a organizar seus projetos de estudo. O GitHub - ou outras plataformas como BitBucket ou GitLab - pode ser muito útil para trabalhar remotamente e compartilhar os seus projetos com colegas, além de poder usá-lo como portfólio em futuras oportunidades de trabalho.

Curso	Conteúdos
Git e Github para Iniciantes	Git; GitHub; Controle de versão.
Git e GitHub	Git; GitHub; Controle de versão.

Currículo

Você pode fazer os cursos na ordem, onde, e como preferir. Este é o maior benefício da liberdade. Entretanto, por fins didáticos e de organização, recomendamos que tente respeitar os pré-requisitos. Você perceberá que não cumprir com estes poderá criar obstáculos em sua jornada.

Dependências entre assuntos

(Clique na imagem para ampliar.)

Obrigatórias

A grade curricular abaixo está dividida em etapas para melhor visualização

1ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
1	Circuitos Digitais	-	Livros sobre Circuitos Digitais
1	Matemática Discreta	-	Livros sobre Matemática Discreta
1	Linguagens de Programação	-	Livros sobre Linguagens de Programação
1	Introdução à Ciência da Computação com Python I	-	Livros sobre Introdução a CC
1	Geometria Analítica	-	Livros sobre Geometria Analítica

2ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
2	Cálculo I	Geometria Analítica	Livros de Cálculo I
2	Álgebra Linear I	Geometria Analítica	Livros de Álgebra Linear
2	Estruturas de Dados	Matemática Discreta Introdução à Ciência da Computação com Python I	Livros de Estruturas de Dados
2	Introdução à Ciência da Computação com Python II	Introdução à Ciência da Computação com Python I	Livros de Introdução a Programação
2	Laboratório de Programação Orientada a Objetos I	Introdução à Ciência da Computação com Python I	Livros sobre Orientação a Objetos

3ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
3	Algoritmos em Grafos	Estruturas de Dados	Livros sobre Algoritmos em Grafos
3	Arquitetura de Computadores I	Circuitos Digitais	Livros sobre Arquitetura de Computadores I
3	Probabilidade e Estatística	Cálculo I	Livros sobre Probabilidade e Estatística
3	Cálculo II	Cálculo I	Livros sobre Cálculo II
3	Programação Funcional em Haskell	-	Livros sobre Programação Funcional

4ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
4	Análise de Algoritmos	Algoritmos em Grafos	Livros sobre Análise de Algoritmos
4	Métodos Numéricos I	Introdução à Ciência da Computação com Python I Cálculo I	Livros sobre Métodos Numéricos
4	Banco de Dados	-	Livros sobre Bancos de Dados
4	Arquitetura de Computadores II	Introdução à Ciência da Computação com Python II Arquitetura de Computadores I	Livros sobre Arquitetura de Computadores
4	Programação Lógica	-	Livros sobre Programação Lógica

5ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
5	Redes de Computadores	-	Livros sobre Rede de Computadores
5	Introdução à Engenharia de Software	Introdução à Ciência da Computação com Python II	Livros sobre Engenharia de Software
5	Sistemas Operacionais	Arquitetura de Computadores II	Livros sobre Sistemas Operacionais
5	Programação Matemática	Álgebra Linear I	Livros sobre Programação Matemática/Pesquisa Operacional
5	Fundamentos de Computação Gráfica	Geometria Analítica	Livros sobre Computação Gráfica

6ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
6	Linguagens Formais e Autômatos	Matemática Discreta	Livros sobre Linguagens Formais e Autômatos
6	Inteligência Artificial	Estruturas de Dados Probabilidade e Estatística	Livros sobre Inteligência Artificial
6	Sistemas Distribuídos	Redes de Computadores	Livros sobre Sistemas Distríbuidos
6	Teoria dos Grafos	Matemática Discreta	Livros sobre Teoria dos Grafos
6	Cálculo III	Cálculo II	Livros sobre Cálculo III

7ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
7	Teoria da Computação	Linguagens Formais e Autômatos	Livros sobre Teoria da Computação
7	Deep Learning	Inteligência Artificial	Livros sobre Deep Learning
7	Compiladores	Estruturas de Dados Teoria dos Grafos	Livros sobre Compiladores
7	Computação Quantica	Cálculo III Arquitetura de Computadores II	Livros sobre Computação Quântica
7	Metodologia da Pesquisa	-	Livros sobre Metodologia de Pesquisa

Especializações

Após ter concluído a formação geral, você já deve ter uma ampla visão sobre Ciência da Computação, seus fundamentos, e suas aplicações. Além disso, você deve estar mais preparado para escolher uma área de especialidade. Abaixo disponibilizamos algumas “carreiras” que o estudante pode escolher para seguir com sua especialização em Ciência da Computação. Sua estrutura deverá ser similar ao disposto na grade principal da UBL. Note que o termo “especialização” não é empregado no mesmo sentido de pós-graduação lato sensu, e ao invés disso se refere a uma gama de conteúdos que, se empregados na grade principal, a tornariam menos geral no que diz respeito aos conteúdos base que espera-se de todo cientista da computação.

Especialização	Áreas de Atuação
Computação Gráfica	`softwares gráficos`, `aplicações 3D`, `games`, `fotorrealismo`, `sistemas gráficos`, `simuladores`, `e mais`
Embarcados	`internet das coisas`, `controles industriais`, `coisas inteligentes`, `wearables`, `cidades inteligentes`, `automobilismo`, `e mais`
Desenvolvimento Web	`aplicações em servidor`, `layout de páginas web`, `sistemas on-line`, `APIs`, `computação em nuvem`, `streaming`, `e mais`
Ciência de Dados	`análise de dados`, `visualização de dados`, `machine learning`, `deep learning`, `sistemas especialistas`, `estatística`, `e mais`
CyberSecurity	`segurança`, `pentest`, `criptografia`, `autenticação`, `análise`, `estatística`, `e mais`
DevOps	`devops`, `infraestrutura`, `container`, `docker`, `kubernetes`, `CI/CD`, `e mais`
Design de Algoritmos	`em breve`

Como demonstrar o meu progresso?

A melhor forma de demonstrar sua evolução e maturidade ao longo do currículo é por meio de exercícios. Estes exercícios podem ser os encontrados nas leituras recomendadas ou, em caso de disciplinas mais aplicadas, projetos práticos. Compartilhar sobre os projetos que tem feito ao longo do Curso, seja por meio de redes sociais, blogues, tutoriais, streaming… vai demonstrar para as pessoas do meio técnico e de outros meios o quanto você aprendeu e evoluiu ao longo dessa jornada.

Não deixe de hospedar todos os seus códigos em seu perfil do GitHub, mesmo que sejam pequenos projetos ou apenas exercícios eles podem demonstrar muito sobre o que você tem estudado, como você resolve problemas e o quanto você melhorou ao longo do tempo.

Parabéns!

Após completar todos os requisitos do currículo acima e aprender ao menos uma especialização você já viu todo o conteúdo equivalente a um Bacharelado completo em Ciência da Computação. Parabéns!

O que fazer após isso? Bem, na verdade as possibilidades são sem limites e interconectadas:

Procurar um trabalho como Desenvolvedor em sua especialidade.
Aprender mais lendo livros clássicos de Ciência da Computação em um Clube do Livro para melhorar suas habilidades e expandir seu conhecimento (além de fazer muitos amigos)!
Participar ou organizar meetups de tecnologia.
Encontrar novas tecnologias que estão crescendo:
- Explorar o modelo de atores (actor model) com Elixir ou Scala, que são linguagens modernas com ferramental e bibliotecas muito interessantes para Desenvolvimento Web e que utilizam VM’s muito poderosas!
- Explorar empréstimo (borrowing) e tempo de vida (lifetimes) em Rust, uma linguagem que tem segurança de memória e de fio de execução sem um coletor de lixo!
- Aprender mais sobre tipos e inferência de tipos com OCaml, uma linguagem multiparadigma com inferência estática de tipos!

Time

Camilo Cunha de Azevedo: Fundador da ULivre
Mateus Roveda: Líder de Comunidade
Leonardo Fiedler: Moderador da Comunidade
Jefferson Quesado: Moderador da Comunidade
Rotfuchs von Vulpes: Admin da Comunidade
Emanuel Castelo: Admin da Comunidade
Ana Hernandes: Admin da Comunidade
Christian: Admin da Comunidade

Contribuidores

Nosso muito obrigado a todas essas pessoas!

_{Fabio Kon} 📹	_{professordouglasmaioli} 📹	_{Gabriel Guimaraes} 📹	_{Pedro Thiago Valério de Souza} 📹	_{Rodolfo Azevedo} 📹	_{Eduardo Guerra} 📹	_{Fábio dos Reis} 📹
_{Matheus Felipe} 👀	_{João Paulo Carvalho} 🤔	_{Wellington Silva} 🤔	_{Hallison Paz} 📹 🤔	_{Fernando Mercês} 📹 🚧	_{Fernando Masanori} 📹	_{Emilio Francesquini} 📹
_{Fabricio Olivetti de Franca} 📹	_{Professor Isidro} 📹	_{Fabio Levy Siqueira} 📹	_{Luiz Velho} 📹	_Geofisicando 📹	_{WR Kits} 📹	_{Bruno Miranda} 📹
_{Gustavo Guanabara} 📹	_{Victor Lima} 📹	_{Lucas Nhimi} 📹	_{oliveira-michel} 📹	_{Willian Justen} 📹	_{Kizzy Terra} 📹	_{Andrew Rosário} 📹

E a todos os outros educadores, produtores de conteúdo e pessoas que contribuíram com esse projeto, mas não possuem perfil ou ainda não os encontramos!

Best-websites-a-programmer-should-visit

Sat, 28 Jun 2025 15:28:46 +0800

sdmg15/Best-websites-a-programmer-should-visit

Best-websites-a-programmer-should-visit

Some useful websites for programmers.

When learning CS, there are some useful sites you must know to get always informed to do your technologies even better and learn new things. Here is a non-exhaustive list of some sites you should visit. This list will get updated as soon as I can get another link, but you can also contribute by adding those you know :wink:

Note : Chinese Version

📖 Index

❓ When you get stuck

Codementor : A mentorship community to learn from fellow developers via live 1:1 help and more.
devRant : Community where you can rant and release your stress
Google : A search engine for anything you get stuck with.
Learn Anything : Community curated knowledge graph of best paths for learning anything
Quora : A place to share knowledge and better understand the world
Stack Overflow : subscribe to their weekly newsletter and any other topic which you find interesting
Stack Exchange : Stack Exchange is the combination of Stack Overflow and 170+ sites where you can get any kinds of help
Coderanch : A friendly place for programming greenhorns. Jump straight into any of our topics and light hearted discussions. Ranging from Java, Databases, Android, Programmer certification, Programming jobs and much more…

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📰 News

ACM TechNews : TechNews
AlternativeTo : Crowdsourced software recommendations
Ars Technica : Posts unique quality articles on technology, science, politics and society.
Better Dev Links : Weekly links to help you become a better developer
Better Programming : Featured articles for modern developers available every day
CNET : Your guide to a better future! An excellent source of up-to-date tech news.
Daily.Dev : A Great Chrome extension which provides recent and relevant tech articles and news
DevOpsLinks : An online community of thousands of developers and IT experts interested in DevOps
Frontend Focus Newsletter : once-weekly roundup of the frontend news, articles and tutorials
GSMArena.com : news related to the latest mobile phones and android.
Hacker News Digest : curated automatically, delivered as frequently as you want
Hacker News : news aggregator for programmers where civility is king, try a newsletter to get top news to your inbox:
Hacker Newsletter : curated by hand, delivered weekly
Hacker Noon : How hackers start their afternoons.
High Scalability : Success stories of various companies on their apps, infra scaling.
Lobsters : Lobsters is a technology-focused community centered around link aggregation and discussion.
product hunt : Discover your next favorite thing
Recode : Tech news that focuses on the business of Silicon Valley
Reddit.com/r/programming : Subreddit with aggregated tech news and articles
Slashdot : News, Social news (Originally “News for Nerds. Stuff that Matters”)
Stratechery : Stratechery by Ben Thompson
StackShare : See what tools are popular with developers and companies and read about their technology decisions
TechCrunch : dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news
The DEV Community : Where programmers share ideas and help each other grow.
The Verge : More product oriented tech news
WCCF Tech : curated news related to Computer Hardware, Software, and everything else in the Tech World.
XDA : Android Developers News
Hashnode : Hashnode is a friendly and inclusive community for software developers
Rekt : A journalism related to Defi, Web3, Blockchain and security on them.
Hackaday : Hacking is an art form that uses something in a way in which it was not originally intended.

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📚 Magazines

MIT Technology Review : MIT’s tech review magazine.
Nautilus : NewYorker for tech.
LWN : Weekly news coverage of opensource technologies, programming, etc. ( Originally Linux Weekly News).

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👶 Coding practice for beginners

Codedex - start your coding adventure : Gamify your learning experience and have fun learning how to code!
freeCodeCamp : Learn to code and build projects for nonprofits. Build your full stack web development portfolio today
Blackbird School : Learn to code online with our beginner-friendly platform.
Glitch : Great place to play around with code in an easy-to-set-up environment.
Reddit.com/r/dailyprogrammer : interesting programming challenges where you can learn from looking at other’s code, even if you are not able to solve code you can look at how others solved.
Programming by Doing : very good site for those who want to start with absolute basics
CodeAbbey - a place where everyone can master programming : Best place to begin with problems that start at the easiest and gradually increase difficulty with each problem.
Exercism.io : Download and solve practice problems in over 50 different languages, and share your solution with others.
InterviewBit/Coding Interview Questions : Gamifies the experience of practicing for your interview and includes lots of sample problems to solve.
karan/Projects-Solutions : Solutions to most of the problems in the link above
Lod - Cloud : The Linking Open Data cloud diagram
Cave of programming : Learn to program, Upgrade your skills.
Vim adventures : Learn VIM by playing
Learn Vimscript the Hard Way : Learn Vim Script from beginning to expert.
Programming Tasks : Large collection of small programs.
Pramp : It’s your turn to be the interviewer. when done, click on the swap roles button on the left
Paqmind : Guides and challenges to learn programming
Codecademy : Learn to code interactively, for free.
Codegym : It contains a Java tutorial with 1200 Java practise tasks.
treehouse : The fast, easy, and affordable way to build your skills.
GeeksforGeeks : Learn to code, Study for placement, Do competitive coding.
edabit : Practice coding via various small challenges.
Learn Git Branching : Learn and practice git commands in an interactive way
Oh Shit, Git!?! : Cheat sheet to get yourself out of bad git situations
The Odin Project : The Odin Project provides a free open source coding curriculum that can be taken entirely online.
Udemy : Whether you want to learn or to share what you know, you’ve come to the right place. As a global destination for online learning, we connect people through knowledge.
Scaler : A curated interactive space for aspiring programmers to learn and master their coding skills. Also help in job interview.
SQL Zoo : Learn SQL interactively in stages, from basic queries to complex operations.
SQLTest.online : Boost Your SQL Proficiency with Challenging Problems.

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💰 CryptoCurrency

Blockchain Basics : Great introduction to blockchain
Blockchain demo : A visual demo of Blockchain technology
Build a blockchain in Python : Learn Blockchains by Building One
Coin demo : CryptoCurrency demo
GitCoin : Gitcoin is the easiest way to monetize or incentivize work in Open Source Software.
Learn About Bitcoin and Lightning Protocol: Complete 4 weeks seminar ciricullum for learning about Bitcoin.
Learn Me A Bitcoin: Bitcoin, Cryptocurrencies and Blockchain explained in plain English
Learn Web3 DAO: Learn to become a Web3 Developer for free.
Lite Paper : Cryptocurrencies & Blockchain made effortless
Lopp Bitcoin Resources : Some Bitcoin Resources
Mastering Bitcoin: Introduction to Bitcoin and tutorials to operate a full node
Mempool: Bitcoin block explorer, mempool visualizer, transaction tracker, and fee estimator

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💡 For those who want to start a small project but can’t find the ideas

freeCodeCamp/React project ideas : 27 fun app ideas you can build while learning React.
karan/Projects : a large collection of small projects for beginners with
Wrong “big projects” for beginners : How to choose where to start
vicky002/1000-Projects : Mega List of practical projects that one can solve in any programming language!
reddit.com/r/AppIdeas : A place to discuss ideas for applications, for bored developers.
reddit.com/r/SomebodyMakeThis : A home for ideas by people who lack time, money, or skills.
florinpop17/app-ideas : A Collection of application ideas which can be used to improve your coding skills.

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🗣️ General Coding advice

How to Begin With Competitive Programming
10-ways-to-be-a-better-developer : Ways to become a better dev!
Code Review Best Practices : Kevin London’s blog
Design Patterns : Design Patterns explained in detail with examples.
Game Programming Patterns : Game Programming Patterns is a collection of patterns Robert Nystrom found in games that make code cleaner, easier to understand, and faster
How to become a programmer or the art of Googling well : How to become a programmer or the art of Googling well
How to escape tutorial purgatory as a new developer — or at any time in your career : How to escape tutorial purgatory
JS Project Guidelines : A set of best practices for JavaScript projects.
Learn to Code With Me : A comprehensive site resource by Laurence Bradford for developers who aims to build a career in the tech world
Lessons From A Lifetime Of Being A Programmer : The Codist Header Lessons From A Lifetime Of Being A Programmer
MITRE - Top 25 Most Dangerous Software Weaknesses (2022) : The currently most common and impactful software weaknesses.
Software Architecture Guide : A site by Martin Fowler about Software Architecture patterns and best practices to help building software effectively.
Software design pattern : The entire collection of Design Patterns.
Things I Wish Someone Had Told Me When I Was Learning How to Code — Free Code Camp : What I’ve learned from teaching others
TeachYourselfCS : If you’re a self-taught engineer or bootcamp grad, you owe it to yourself to learn computer science. Thankfully, you can give yourself a world-class CS education without investing years and a small fortune in a degree program
What every computer science major should know : The Principles of Good Programming
Working as a Software Developer : Henrik Warne’s blog
The Open Web Application Security Project (OWASP) : OWASP is an open community dedicated to enabling organizations to conceive, develop, acquire, operate, and maintain applications that can be trusted.

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🎨 Coding Style

Airbnb JS Style Guide : A mostly reasonable approach to JavaScript
Airbnb Ruby Style Guide : A Ruby style guide by Airbnb
Ruby coding style guide : A community-driven Ruby coding style guide
Angular 1 Style Guide : Officially endorsed style guide by John Pappa
CS 106B Coding Style Guide : must see for those who create spaghetti
Debugging Faqs : Check out how to debug your program
Directory of CS Courses (many with online lectures) : Another online CS courses
Directory of Online CS Courses : Free online CS courses
Good C programming habits. • /r/C_Programming : C programming habits to adopt
Google C++ Style Guide
How to Report Bugs Effectively : Want to report a bug but you don’t know how? Check out this post
What are some bad coding habits you would recommend a beginner avoid getting into? : Bad habits to avoid when you get started
PEP8 - Style Guide for Python Code : Style Guide for Python Code
Standard JS Style Guide : JavaScript style guide, with linter & automatic code fixer
The Hitchhiker’s Guide to Python : Best Practices for Python Development
Google Python Style Guide : Google Python Style Guide
Aurelia Style Guide : An Aurelia style guide by Behzad Abbasi(Behzad888)
Source Making : Design Patterns & Refactoring
Refactoring Guru: Refactoring And Design Patterns
Google Java Style Guide: Google Java Style Guide
Rust Coding style: Rust code formatting RFCs and coding style guides
Google C# Style Guide: Google C# Style Guide
Uber Go Style Guide: Uber Go Style Guide

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🛠️ General Tools

CoderPad : Quickly Conduct Coding Interviews and Phone Screen Interviews.
CodePen : Front End Developer Playground & Code Editor in the Browser
CORS-Tester : A tool for developers and API testers to check if an API is CORS-enabled for a given domain and identify gaps
Crontab Guru : Quick and simple editor for cron schedule expressions
Devicons : Cheatsheet for devs icons
Diagrams.net : Drawing tools to make design and uml easily. Old draw.io
FreeFor.Dev : A huge list of free resources and tools
Hotkey Cheatsheet : A comprehensive hotkey cheatsheet for popular software and applications
Imgur : Online image sharing and image hosting service.
Kody Tools: 100+ dev tools including code converters, formatters, and minifiers.
Pyrexp : Online regex tester and visualizer for Python.
regex101 : Online regex tester and debugger: PHP, PCRE, Python, Golang and JavaScript
regexr : Another online tool to learn, build & test Regular Expressions
Ray.so: Beautiful code snippet screenshots.
Prodia AI Image API : API for open sourced image models
Wit AI : Natural Language for Developers
SaaS Design : Collection of open source Figma UI design templates for your next project.
Seymour : Live Programming for the Classroom
Code share : Share code in real-time with other developers
Solid Tools for Developers : Online debugging tools for developers and system administrators
OS Query : Easily ask questions about your Linux, Windows, and macOS infrastructure
LaunchPad : Appollo launchepad for testing GraphQl queries
GraphOnline : Useful tool for visualizing Graphs
Data Structure Visualization : Perfect website for visually learning Algorithms
IDE Onlang : Write in one language and get the same result in other languages.
JSON Crack : An online open-source tool designed for visualizing data in various languages such as JSON, YAML, CSV, and more.
JSONing : Collection of JSON tools, including a formatter, validator, comparator, testers, generators, and a mock API for testing and prototyping.
Pad.new : Free cloud-based IDE to run code and databases in almost any language
PullRequest : Code review as a service from vetted, professional reviewers
Python Visualizer : Watch the execution of basic Python, Java, C++, etc. code step-by-step. Recommended for new programmers and the Canadian Computing Competition.
Extends Class : Online developer tools: REST and SOAP clients, SQLite browser, testers (Regex, XPath, JSONPath) and other tools (Encoders, Converters and formatters)
Sourcegraph : Online tool for searching millions of open source repositories.
SVG Path Editor : Online and open source SVG Path editor.
EmailDrop: Emaildrop is a free disposable email provider.
Repl.it: Accessible prototyping tool for various needs.
KeyBr (Typing Practice): Easy to use typing practice app.
Svgator: Animate svg graphically. Its like a video editor but for svg.
Webhook.site: Useful tool for test and debug webhooks.
kandi: Jumpstart Application Development by finding the right Open Source resource
Svix Play: Webhook tester & debugger. Test webhooks directly from your test suite.
Typeracer: Increase your typing speed while racing against others.
Typerush: Increase typing speed while racing.
IT-Tools: Collection of handy online tools for developers.

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🐚 Bash and Shell scripting

Advanced Bash-Scripting Guide : An in-depth exploration of the art of shell scripting
Bash Guide for Beginners : Bash Guide for Beginners Machtelt Garrels
Bash Programming : by Mike G mikkey at dynamo.com.ar
Bash Reference Manual : Bash Reference Manual
BashGuide : BashGuide - Greg’s Wiki
Conquering the Command Line : Unix and Linux Commands for Developers
Airborn OS : Private Google Docs Alternative
Commandlinefu : An extensive collection of Shell oneliners that can save your day on many occasions
Pure Bash Bible : A collection of pure bash alternatives to external processes.
25 Common Linux Bash Script Examples To Get You Started

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🎤 Interview Preparation

10 Frequently asked SQL Query Interview Questions
A Collection of Quant Riddles With Answers
A Developer’s Guide to Working with Recruiters
Algorithm design canvas
Aptitude Questions and Answers : Quant and aptitude preparation
A site for technical interview questions, brain teasers, puzzles, quizzles : whatever the heck those are) and other things that make you think!
Big collection of interview preparation links • /r/cscareerquestions
Big-O Algorithm Complexity Cheat Sheet
BIG O Misconceptions
Bitwise tricks
ChiperSoft/InterviewThis : questions to ask during on a interview to know more about the company.
Code Project : For those who code!
Coderbytes : A platform for coding challenges and interview prep.
C PUZZLES, Some interesting C problems
Core Java Interview Questions
CS9: Problem-Solving for the CS Technical Interview
Delightful Puzzles
Determining the big-O runtimes of these different loops? : really good stackoverflow question that covers basics of calculating runtime complexity.
FAANGPath Resume template : Maximize your chances to get your resume in the hands on HR/HM.
five-essential-phone-screen-questions - steveyegge2
Freshers Interviews
Gainlo : Mock interview from professionals
GeeksforGeeks/A computer science portal for geeks : also subscribe to their feeds to get links to their new articles.
github.com/odino/interviews : list of important questions for interview
Give your résumé a face lift
Google Interview Warmup : Google Interview Warmup is an AI-based tool that helps individuals practise for their interviews.
Here’s How to Prepare for Tech Interviews • /r/cscareerquestions
How to Answer “Tell Me a Little About Yourself”/The Art of Manliness
How to Break Into the Tech Industry - a Guide to Job Hunting and Tech Interviews
How to interview
How to prepare for an interview - 1
IIT Delhi Placement Experience
samwincott/Internship-Guide : An aggregate of links related to internships.
Interviewing At Jane Street : Interviewing At Jane Street
Interview Archives - Java Honk
Interview Cake : Free and Paid course options offering high quality technical interview practice.
Job Interview: How to Ace a Job Interview/The Art of Manliness
Job interviews News, Videos, Reviews and Gossip - Lifehacker
Job Interview Questions and Best Answers
kimberli/interviews : study sheet for Interview
LeetCode : A new way to learn. Here you can prepare for your interview.
Learnersbucket: Data Structures and Algorithms in Javascript.
Mission-peace/interview problems : A large collection of coding interview problems
NeetCode: Prepare topic wise coding questions which are most frequently asked in MAANG companies.
Pramp/A free on demand interview practice platform for Software Engineers : Practice coding interviews with real peers
Problems/LeetCode OJ : Coding practice for interviews
Programmer And Software Interview Questions Answers
Reddit.com/user/ashish2199/m/puzzles : Logic Puzzles
SQL interview questions : great SQL test
SQL Joins explained using venn diagram
svozniuk/java-interviews : Java interview questions
Techie Delight : Leading platform for technical interview preparation.
The 25 most difficult HR questions
Top 10 Algorithms for Coding Interview : Algorithms for Coding Interview
Unix / Linux Commands Cheat Sheet
Unsolicited_advice_for_job_seekers_and_employers
Visualising Data Structures and Algorithms through Animation
We Help Coders Get Hired : website offering courses on system design, interview strategies, soft skills etc
what_are_your_goto_questions_for_the_do_you_have?
Why You Make Less Money • /r/cscareerquestions
wu :: riddles(hard) : logic puzzles and riddles
What I Learned from Interviewing at multiple AI Companies and Start-Ups -Tech Interview Handbook: Guide on cracking tech interviews

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🎬 Documentaries

Breaking the Code : Biography of Alan Turing
Cracking The Code Interview : Cracking the Code Interview
Cracking the Coding Interview : Cracking the Coding Interview, Fullstack Speaker Series
Harvard CS50 - Asymptotic Notation (video) : Asymptotic Notation explained by Harvard
Machine Code Instructions (video) : Code instructions
Machine that Changed the World - a very good documentary about the history of computers
- Part 1 is unavailable for free streaming due to widespread copyright claims.
- Part 2: Inventing the Future
- Part 3: The Paperback Computer
- Part 4: The Thinking Machine
- Part 5: The World at Your Fingertips
Mechanical Computer (All Parts) : a very good video from the 1950s explaining how mechanical computers used to work without all the modern-day electronics.
Teach Yourself Computer Science : Teach Yourself Computer Science
The Code : Story of Linux documentary
The Internet’s Own Boy : The Story of Aaron Swartz

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🎓 MOOCs for learning something new

Boot.dev : Interactive online course to learn modern backend programming in Python, Javascript, Go, and more.
Class Central : a directory of 100,000+ student reviews of thousands of MOOCs.
Classpert : a website that gathers MOOCs and online courses from several providers, focusing on computer science and data science courses.
Computer Science Resources : list of MOOCs for autodidacts
Coursera.org : Take the world’s best courses, online.
CS50 : A set of goods tutorials from cs50
edX : Free Online Courses, Advance Your Career, Improve Your Life.
Kadenze/Creative Programming : Programming courses focused on art and creativity
MIT OCW Electrical Engineering and Computer Science
MOOC.fi : Free online courses from the University of Helsinki
NPTEL : Free online courses by IIT with certificates
prakhar1989/awesome-CS-courses : List containing large amount of CS courses
Pluralsight : An online learning and workforce development platform that helps businesses and individuals adjust to changing technology.

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Best books for learning java must read : Get basics of Java
Bjarne Stroustrup’s C++ Style and Technique FAQ : The C++ FAQ
Bjarne Stroustrup’s FAQ : The C++ FAQ
C++11 - the new ISO C++ standard : The C++11 FAQ
Compilers (video) : A set of videos on how the GC works
Deep Dive Java : Garbage Collection is Good!
Free Online Chapters of Inside the Java Virtual Machine by Bill Venners : Java Corner
How Garbage Collection Works : Java memory management
Implementation of Algorithms and Data Structures, Interview Questions and Answers
IntelliJ Keyboard Shortcuts : Keyboard shortcuts to enhance your productivity when working in IntelliJ.
Java Corner at Artima.com : Java Corner at Artima.com
Java Lecture Notes : Java Student’s Resource
Java Off Heap : Java Off the Heap house
Java Revisited : good for learning about Java Language and interview preparation.
Java-source : Java source
Java Visualizer : helps visualize references, values of variables, etc
JournalDev - Java, Java EE, Android, Web Development Tutorials : Java, Java EE, Android, Web Development Tutorials
Learning Java : a free online textbook for learning Java
Netbeans Keyboard Shortcuts : Keyboard shortcuts to enhance your productivity when working in Netbeans.
Official Qt Documentation : Documentation for different Qt versions, languages, tools and platforms
Search Open Source Java API : view source of java library and learn how things are implemented.
The C++ Programming Language : The C++ Programming Language.
The Java Memory Model: The Java Memory Model
The Java™ Tutorials : The best tutorials for Java.
Understanding JVM Internals : Understanding JVM Internals
what-is-garbage-collection : Demystify the garbage collection
JavaWorld : Welcome to Javaworld
JavatPoint : Best website to get a basic Java programming tutorial
The Rust Programming Language Book : Explains the Rust programming language
Rust Cookbook : Quickly get an overview of the capabilities of the Rust crate ecosystem
Getting start with python : A-Z python programming concepts and methods.
Rust by Example : A collection of runnable examples that illustrate various Rust concepts and standard libraries

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🤖 Learn AI

aima : The leading textbook in Artificial Intelligence (4th most cited publication of the century). Includes Github repositories and more AI resources!
fast.ai : Free practical deep learning course for coders without grad-level maths!
TypeDB : A Strongly-typed Database
Robots that learn : Robots that Learn
Unsupervised Sentiment Neuron : Unsupervised Sentiment Neuron
What’s the difference between AI- DP and ML? : Difference artificial intelligence, machine-learning, deep-learning-ai
TensorFlow : An open-source software library for Machine Intelligence
Scikit-learn : A Python module for machine learning build on top of SciPy
DeepLearning.ai : Deep Learning course by Andrew Ng, Founder of Coursera
Coding the History of Deep Learning : Coding the History of Deep Learning
Serpent AI : Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
Blog Floydhub : Colorizing B&W Photos with Neural Networks
MLCOURSE.AI : Open Machine Learning course by OpenDataScience
Elements of AI : A free course for AI basics by Reaktor and University of Helsinki
Machine Learning Mastery : A comprehensive blog that contains guidance, tutorials, and e-book for mastering ML
Machine Learning Crash Course : A jumpstart AI course from Google
Machine Learning Tutorial: A Step-by-Step Guide for Beginners : A one-stop playlist for all the basics of Machine Learning simplified, from Logistic Regression to Reinforcement Learning.
MLU-EXPLAIN : Machine Learning University (MLU) is an education initiative from Amazon designed for visual explanations of core machine learning concepts.

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📢 Seminar, research writing, talks, etc

Advice on Research and Writing : A collection of advice about how to do research and how to communicate effectively (primarily for computer scientists).
PHD MS Articles : articles and views
Seminar and reports : Everyone must read this tiny book before writing the seminar report
Latex reference : Arbitrary reference
Begin Latex in minutes : Brief Intro to LaTeX for beginners that helps you use LaTeX with the ease
Lshort : The Not So Short Introduction to LATEX2ε

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📦 Everything in one place

API Documentation : A one-place well-known API Documentation with a searchable interface
Baeldung : Step-by-step guides for Spring, rest, Java, security, persistence, Jackson, HTTP client-side and Kotlin
BtechBasics : Fundamental concepts of Computer Science Engineering using hands-on exercises
Branition Colors : Collection of hand-curated color palettes best fitted for branding.
cheat.sh : curl cheat.sh — the only cheat sheet you need — instant answers on programming questions with curl
Developer Roadmaps : Step by step guides and paths to learn different tools or technologies
DevURLs : Developer news aggregator
Kaggle : All-in-one Machine Learning and Data Science Community – access free GPUs and a huge repository of community published data & code.
MDN Web Docs : A place with all the documentation of the web standards
Rico’s cheatsheets : A set of good cheatsheets
Programming Subreddits : a multisubreddit of all subreddits of topics related to computer science and programming.
Websites a programmer should visit : Response on Quora by ashish2199
gitignore : A collection of useful .gitignore templates for your project. Select from 442 Operating System, IDE, and Programming Language
Hidden Tools : Discover a wide collection of tools made by the community - for you. ✨
Coolors : Create the perfect palette or get inspired by thousands of beautiful color schemes.
Tailwind CSS Page Builder : The perfect Tailwind CSS Page Builder
LottieFiles : The world’s largest online platform for the world’s smallest animation format for designers, developers, and more. Access Lottie animation tools and plugins for Android, iOS, and Web.
UI Design Daily :Weekly FREE UI resources straight to your inbox
Iconscout : Over 2.2 Million+ Design Assets, Curated SVGs, Vector Icons, Illustrations, 3D graphics, and Lottie Animations. Over 3000+ assets added every day. Integrated plugins, tools, editors, and more.
Json API App : Single repository for everything you need to build better products as a developer. API, DB, Queue, Server, Webhooks, Bin, Tools, Podcasts etc. Everything you need to build super apps that our world needs.
Library or micro code solutions : Community library of micro code pieces for popular issues.

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📺 YouTube Channels

C++Now (BoostCon) : C++Now (previously BoostCon) conference
code::dive conference : code::dive conference organized by NOKIA Wrocław Technology Center
Coding Blocks : Tutorials, how to’s, tips and tricks
Computerphile : Must watch for every CS student
ComputerHistory : for those who like to know how we reached where we are.
CppCon : C++ Conference
Facebook Developers
Google Developers
GoogleTechTalks : videos on trending topics and cool stuff happening in the tech industry.
Gynvael Coldwin : Awesome reverse engineering and hacking(CTF) videocasts. Every Wednesday is new live streams.
HowToBecomeTV : contains good interviews of developers and people related to the tech industry.
Java : talks related to java
JavaOne : Java Conference
javidx9 : Game and graphics tutorials
Meeting C++ YT Kanalseite : Talks on C++
MIT OpenCourseWare : MIT OpenCourseWare for learning in-depth algorithms, data structures, and computer engineering
Murtaza’s OpenCV Robotics and AI: OpenCV, Self Driving, Robotics and AI tutorials.
Netflix UI Engineering : great videos to watch for web developers, mobile developers and those interested in some of Netflix’s tech stack
O’Reilly : interviews and talks of the world’s best technical writers.
Placement Grid : Interview and campus placement experience
Scott Meyers: Past Talks
Siraj Raval : Artificial Intelligence and deep learning tutorials videos
ThinMatrix : blogs and tutorials developer making a 3d game in Java using OpenGL
thoughtbot : talks on various topics
Traversy Media :Web development and programming
yegor256
GOTO Conference : tech talks from the GOTO Conference by Developers for Developers
freeCodeCamp : freecodecamp youtube channel
Bo Qian : Learn advanced c++
Geeksforgeeks : geeksforgeeks youtube
Hacker earth : Hacker earth youtube
Hak5 : Put together by a band of IT ninjas, security professionals, and hardcore gamers, Hak5 isn’t your typical tech show. We take on hacking in the old-school sense.
Khan Academy : Khan Academy youtube
LearnCode.academy : 100% FREE Web Development tutorials, web site design tutorials, and more. Including, but not limited to: HTML, CSS, JavaScript, CSS Layouts, Responsive Design, React.js, Node.js, Angular.js, Docker, Dev
Rachit Jain : competitive programming
sentdex : Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development, and more.
Steve Griffith : The videos on this channel are largely about web design & development with a good dose of mobile development thrown in just for fun.
The Coding Train : In this YouTube channel I publish “creative coding” video tutorials every week. Subjects covered range from the basics of programming languages like JavaScript (with p5.js) and Java (with Processing) to generative algorithms like physics simulation, computer vision, and data visualization.
TheHappieCat : Videos on technology, storytelling, and being happie.
Tutorials Point (India) Pvt. Ltd. : Tutorials Point originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms. We bring simple to understand Text and Video tutorials at zero cost and cover many subjects including IT, Engineering, MBA, MCA, Management, Various Exams Preparation, and Academic subjects. If you are not extravagant and willing to save your money and time then we recommend you to try our tutorials.experience
Udacity : Udacity, a pioneer in online education, is building “University by Silicon Valley”, a new type of online university
V. Anton Spraul : Videos for people who want to understand the software better, including explanations of how the software performs some of its most important jobs and tools programmers can use to solve programming problems.
xdadevelopers : You have found the world-famous XDA-Developers.com YouTube Channel, known as XDA TV. We cover Android and Windows Mobile from HTC, Samsung, Motorola, Sony, and more. Learn about rooting your Android, how to build applications, and more.
KudVenkat : Microsoft .NET technologies and SQL Server tutorials.
The Net Ninja: Web development tutorials
Web Dev Simplified: Tutorials based on Web development from basic to advanced.
Take You Forward: Tutorials on Data structures and Algorithms in Java and C++.

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✍️ Good Articles

14 Things I Wish I’d Known When Starting with MongoDB
40 Keys Computer Science Concepts Explained In Layman’s Terms
A Gentle Introduction To Graph Theory
A programmer-friendly language that compiles to Lua.
A Software Developer’s Reading List : Some good books and links in there.
Code a TCP/IP stack : Let’s code a TCP/IP stack, 5: TCP Retransmission
Codewords.recurse : The language of choice
Learn Data structure and Algorithms : List of some algorithms and data structures and learning resources.
Dive into the byte code
Expectations of a Junior Developer
Getting Started with MongoDB – An Introduction
Linux Inside
List of algorithms
Step by Step Guide to Database Normalization: A guide to database normalization.
The Key To Accelerating Your Coding Skills
Unicode
We are reinventing the retail industry through innovative technology
What every programmer absolutely, positively needs to know about encodings and character sets to work with text
What every programmer should know about memory - PDF
qotoqot - improving-focus : How I got to 200 productive hours a month
Pixel Beat - Unix : Parallel processing with Unix tools
Learning Vim : What I Wish I Knew
Write a Kernel : Kernel 101 – Let’s write a Kernel
Learning JavaScript Design Patterns : the online version of the Learning JavaScript Design Patterns published by O’Reilly, released by the author Addy Osmani under CC BY-NC-ND 3.0
Working with Webhooks : a comprehensive guide on webhooks
How I got TensorFlow Developer Certified : Step By Step guide to pass Tensorflow Developer Certification

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🎧 Podcasts

Coding Blocks : A podcast covering topics such as best programming practices, design patterns, coding for performance, object-oriented coding, database design and implementation, tips, tricks and a whole lot of other things.
Developer On Fire : A podcast that shares the humanity of developers and tells stories of some of the amazing people in software, hosted by Dave Rael.
Developer Tea : A podcast for developers designed to fit inside your tea break.
Front End Happy Hour : A podcast featuring a panel of Software Engineers from Netflix, Evernote, Atlassian & LinkedIn talking over drinks about all things Front End development.
Full Stack Radio : Everything from product design and user experience to unit testing and system administration.
Groovy Podcast : A podcast dedicated to the Groovy programming language and its ecosystem.
IPhreaks : A weekly group discussion about iOS development and related technology by development veterans. We discuss Apple, tools, practices, and code.
JavaScript Jabber : A weekly discussion about JavaScript, front-end development, community, careers, and frameworks.
Learn To Code With Me Podcast : A Season by season of tech podcast episodes by Laurence Bradford with topics ranging from Career in Tech to lessons in doing tech business
LispCast : A podcast by Eric Normand, a functional programming expert talking about FP concepts.
MS Dev Show : Jason Young and Carl Schweitzer talk about the latest in developer news covering topics such as the Azure cloud, Windows, Windows Phone, Visual Studio, and cross-platform development using the Microsoft platform.
React Native Radio : A weekly discussion of the tools, techniques, and technologies used to build mobile applications with JavaScript and React.
ShopTalk Show : A weekly podcast about just building websites from Dave Rupert and Chris Coyier.
Soft Skills Engineering : A weekly advice podcast for software developers about non-technical topics.
Software Engineering Daily : A daily technical interview about software topics.
Software Engineering Radio : A podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast.
Syntax : A Tasty Treats Podcast for Web Developers by Wes Bos & Scott Tolinski.
The Bike Shed : Guests discuss their development experience and challenges with Ruby, Rails, JavaScript, and others.
The Changelog : A weekly conversation that gets to the heart of open source technologies and the people who create them.
The Cynical Developer : A podcast that aims to help you to improve your development knowledge and career, through explaining the latest and greatest in development technology and providing you with what you need to succeed as a developer. Covering Desktop, web, and mobile development, mainly around the .Net Stack but often looking into other software and frameworks.
The Real Python Podcast : A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community.
Blockchain Insider by 11:FS : Podcast to learn about the Blockchain Technology
Unchained Podcast to learn about the Blockchain Technology
Talk python to me Podcast to learn about Python through interviews and discussions
Python bytes Podcast to learn about the latest happenings and trends in Python

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🔄 Building a Simple Compiler/Interpreter

:snowman: Possibly the smallest compiler ever : This is an ultra-simplified example of all the major pieces of a modern compiler written in easy to read JavaScript.
Awesome Compilers : Curated list of awesome resources on Compilers, Interpreters, and Runtimes.
Growing a compiler : Learn how to grow a compiler
Let’s Build A Simple Interpreter. Part 1. : Try to demystify compilers by building one
Resources for Amateur Compiler Writers : Resources for Amateur Compiler Writers
Structure and Interpretation of Computer Programs : Structure and Interpretation of Computer Programs
Writing My First Compiler : Write out your first compiler
An Intro to Compilers : How to Speak to Computers, Pre-Siri
Write your own compiler : How to write your compiler
Crafting Interpreters A handbook for writing interpreters, first implementing a tree walking interpreter and later a bytecode virtual machine
Writing a C Compiler : The first post in a series by Nora Sandler on writing your own C compiler

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🧑‍🏫 Tutorials

A Hacker’s Guide to Git : for those wanting to learn git with a solid foundation
A Byte of Python : a free beginner introduction to python
Best Of - Gustavo Duarte : contains articles on various topics
CMSI 281: Data Structures : lightweight introduction to DS
Collecting all the cheat sheets : cheat sheets for lots of programming languages
C Programming
CryptoHack : Learn cryptography through challenges and tutorials. Has a leaderboard and new challenges are added every few months.
Programming Community Curated C++ Resources : resources recommended by developers
Deep C : very good presentation on C language
Design Patterns: Elements of Reusable Object-Oriented Software : aka the “Gang Of Four” book, or GOF
Dynamic programming - PrismoSkills : very good resource if want to learn how to solve DP problems.
Flexbox Froggy : a game that teaches you how to use CSS flexbox properties
Git from the inside out
Head First Design Patterns
How to Program in C++ : Good resource for revising C++ topics and STL
http://www.mysqltutorial.org/
indradhanush tutotials : Writing a Unix Shell
Introduction to C Programming
Learn UNIX in 10 minutes
Learning the shell.
Linux Journey : good site for learning Linux
Linux Tutorial : good resource for learning Linux
Missing Semester : The missing semester of your computer science education
More about Github-flavored markdown
MySQL Essentials
Open Data Structures : Excellent resource for learning about DS and algos, provides code in various languages C++, Java, and pseudocode.
OS Course Notes : Chapter-wise course notes according to Galvin’s book
Programming, Web Development, and DevOps news, tutorials, and tools for beginners to experts
Prompt engineering : Prompting Guide AI is an online resource that helps users learn and craft effective prompts for AI models to generate better and more relevant outputs.
Stanford Programming Course : Full, free CS course created by Stanford
SQL (Structured Query Language) in one page : SQL.SU : a very good SQL cheat sheet
Subtle/Poor Man’s CI : Learn how continuous integration platforms work under the hood, by building one of your own on top of git with Node.js
TCP/IP Illustrated Series
The Bash Guide : a very good guide for learning the Bash Shell
The Descent to C : for those moving to C from some higher programming language like java or python.
The Linux Command Line: A Complete Introduction
The Unix Programming Environment
TopCoder Tutorials
Tutorialspoint : Text and Video Tutorials for UPSC, IAS, PCS, Civil Services, Banking, Aptitude, Questions, Answers, Explanation, Interview, Entrance, Exams, Solutions
UNIX and Linux System Administration Handbook, 4th Edition
VimTutor+ : Learn VIM from the browser.
W3Schools Online Web Tutorials
Unix Shell : Unix shell scripting with ksh/bash
Snap SVG : The JavaScript SVG library for the modern web
vim.rtorr : Vim Cheat Sheet
Open Vim : Interactive Vim tutorials
Algorithm Using Dynamic Programming and A : Designing a Tree Diff Algorithm Using Dynamic Programming and A*
Learn Python : Free Interactive Python Tutorial
C++17 : A guide of C++17
The Bash Academy : The Bash Academy is an initiative to promote the bash shell language and educate people on its use.
Learn Shell Programming : This website is intended for everyone who wishes to learn programming with Unix/Linux shell interpreters.
Java tutorial : A programming community & a great place to find the best online programming courses and tutorials.
Explain Shell: Match command-line arguments to their help text
Speaking io : Tips for public speaking
Javascript.info : The Modern JavaScript Tutorial

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👀 Watch others code

Education Ecosystem : screencast of people building applications, websites, games, etc.
Twitch.tv : The programming community of twitch.

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🧠 What should a programmer know

Can I use : A website that provides up-to-date browser support tables for support of front-end web technologies on desktop and mobile web browsers.
GitHub.com Build software better, together : Place to showcase your project and collaborate with others. (Must know Git to use it effectively)
GitLab : An alternative to GitHub that offers free unlimited (private) repositories and unlimited collaborators.
Programmer Competency Matrix : article for knowing what our level as a programmer is.

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⚔️ Competitive programming

Topic Wise Problem For Competitive Programmer : Topic wise Practise Problem
Advent of Code : An Advent calendar of small programming puzzles
Archived Problems - Project Euler : Problems Archives
Art of Problem Solving : Is math class too easy for you? You’ve come to the right place!
AtCoder : One of the best places to build competitive programming skills for beginners to experts.
CodeChef : The only programming contests Web 2.0 platform
CodeSignal : Test your coding skills
CodeEval : Notepad for notes and code snippets, stored locally in the browser
Codeforces : Programming Competition,Programming Contest,Online Computer Programming
Codewars : Rank up by completing code kata
Codility : Verify and improve coding skills
Codingame : Learn coding through games and challenges!
Facebook Hacker Cup : Facebook’s Programming Contest, past problems solutions and FAQ
Google Coding Competitions Archive : past contest problems for practice
HackerEarth - Programming challenges and Developer jobs
HackerRank : Practice coding. Compete. Find jobs.
LightOJ : Practicing at lightoj is so good for beginners as it is categorized and have also chat room and forum which helps to communicate with others about any problem.
PKU ACM ICPC Practice problems : Judge online for ACMACPC
Sphere Online Judge (SPOJ) : Become a true programming master Learn how to code and build efficient algorithms
Topcoder : Deliver Faster through Crowdsourcing
URI Online Judge : Practice coding, Compete and be a better coder.
UVa Online Judge : hundreds of problems supporting multiple languages.
WakaTime : leaderboards of coding metrics collected via editor plugins
PrepBytes : Topic and level wise proper arrange problems
A2OJ Ladders : Practice codeforces problems based on your proficiency and difficulty

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📖 Computer Books

Become a Programmer, Motherfucker (list of books) : Exhaustive list of books from Zed A. Shaw.
Best books for GATE CSE
cses.fi/book.html
github.com/vhf/free-programming-books : More than 500 free ebooks on almost any language you can think of
GitBook : GitBook helps your team write, collaborate, and publish content online.
Data Science course : Python Data Science Handbook
Goal Kicker : Programming Notes for Professionals books
The GraphQL Guide : The complete guide to GraphQL, the new REST ✨
Eloquent JavaScript : A book about JavaScript, programming, and the wonders of the digital.
programmingbooks.dev : An Ordered and Curated Reading List for Software Craftsmanship Growth.

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🔴 Video Tutorials

Aditya Verma: Algorithm tutorials playlists by an Indian youtuber Aditya verma.
codedamn : front end web dev tutorials
Code School : A PluralSight Company and an Interactive learning destination for aspiring and experienced Developers
CodingMadeEasy : C++ tutorials
CS1: Higher Computing - Richard Buckland UNSW : a very good introductory CS course
Derek Banas : good quality tutorials
Design and Analysis of Algorithms
DevTips : web dev tutorials
FreeCourses : Free courses about programming
Kathryn Hodge : Has good videos for beginners
Kunal Kushwaha : An amazing guide to Git and GitHub for beginners
mycodeschool : Data structures and algorithms tutorials
Pluralsight : Learn Software Development, DevOps and Data Science through multiple short courses
thenewboston : good but with too much talk as compared to actual content
Tushar Roy : Algorithm and Data structure tutorial by an Indian Youtuber.
Vim Tutorial Videos - Flarfnoogins : good video tutorial for learning vim
XDA-University - Helping You Learn Android Development
Khan Academy : learn about computer science for free
Functional programming : John Carmack on Functional Programming (2013)
Video about vims : A serie of tutorials about Vim
Mastering Next.js : A free serie of videos to learn Next.js

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C9.io : Your development environment, in the cloud
Carbon : Create pretty looking images of your code snippets.
Codeframe : Online pastebin-like playground for building websites using HTML, CSS, and JavaScript
CodePad : Code editor to try, test and run 25+ languages
Coder : A Web-based development environment using Visual Studio Code as a code editor
Codesandbox.io : CodeSandbox makes it easier to create, share, and reuse React projects with others.
Github Codespaces : Integrated cloud-based IDE directly to your browser.
Github Gist : Instantly share code, notes, and snippets.
Godbolt.org : Excellent tool for exploring the assembly output of different compilers with and without optimization.
Ideone.com : online compiler and debugging tool for more than 60 programming languages
JSFiddle : Test your JavaScript, CSS, HTML or CoffeeScript with online code editor
JSBin : Front end playground, Output is not framed, so it allows you to share those snippets that will break inside an iframe.
Judge0 IDE : Online compiler with 40+ interpreters and compilers.
Pastebin.com : Pastebin can store texts like code, notes, and snippets online for a set time which can be shared instantly.
PlayCode : Online Javascript playground with a built-in console and support for npm packages.
RunJS : Online JavaScript playground with instant live feedback
StackBlitz : Instant Dev environments with support of nodejs and npm packages.
Wandbox: Online compiler with bleeding edge C++ and 40 other languages.
PHPize.online: Online PHP compiler with SQL support.

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📝 Blogs of Developers

Algo-Geeks : Programming Puzzles, Math Tricks, Algorithms, etc
Amit Merchant : Tutorials, tips & tricks, and rants about programming and design.
Andy Heathershaw : Personal website and blog of software developer Andy Heathershaw
Antonio081014’s Algorithms Codes : The world is under the RULE.
Archives — Ask a Manager : HR-related stuff
Armin Ronacher’s Thoughts and Writings : blog on Python and open source
blog.might.net : the blog of might dot net
Brendon Gregg - Linux Kernel Dev : the blog of Brendon D. Gregg
Clean Coder Blog : a blog of the author of the book “Clean Code”
CodeAhoy : Blog on software and human factors. 100% Tested on Humans.
CoderGears Blog Insights from : the CoderGears Team
Coding Geek - A blog about IT, programming and Java : A blog about IT, programming and Java
Coding Horror : one the best coding blog
CSE Blog : quant, math, computer science puzzles
CSS Tricks : about building websites and all that entails, mostly from a front-end perspective
Daedtech.com : Stories about software
Dan Dreams of Coding
Daniel Lemire’s Blog : Daniel Lemire’s blog
Eli Bendersky : everything from Python to LLVM
Geek Land : My precious collectibles
HackerEarth Blog : The HackerEarth blog
IT Enthusiast : IT Enthusiast
Joel on Software : The blog of the CEO of StackOverflow
Late Developer : Random thoughts of an old C++ guy
Linux Forums : A Friendly Linux Forum
1ucasvb’s laboriginal math and physics visualization : Lucas Vieira Barbosa’s lab original math and physics visualization
Math ∩ Programming : Math ∩ Programming
My Tech Interviews : PREPARE FOR A TECHNICAL INTERVIEW
Paul Graham Essays : Paul Grahan Essays
Programming Blog : programming blog of Yegor Bugayenko
Programming in the 21st Century : programming in the twenty-first century
rudhakar Rayavaram : Sudhakar Rayavaram Blog’s
Runhe Tian Coding Practice : Technical interview questions from Apple, Google, Facebook, Amazon, and Microsoft
Small Programming Challenges and Puzzles : Project Nayuki
stevehanov.ca : I know how to make and sell software online, and I can share my tips with you.
Takipi Blog : mainly focuses on Java and JVM languages
The Pragmatic Engineer : Software. People. Problems. Ideas. Engineering.
XDA - Android Developer Forum : Android Open Source Developers Forum
The Net Ninja: Web development tutorials

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🗣️ For improving your English

Englishclub.com/learn-english
Guide to Grammar and Writing : for those who want to improve their English language skills
Punctuation and Capitalization Rules
Purdue University Online Writing Lab (OWL)
Quia - English
AntiMoon Immersion Approach: Immersion-based learning of English, can be used by people on different levels.

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Barcroft TV : Daily short documentaries about the incredible variety of people that make up the world
Big Think : Expert driven, actionable, educational content, featuring experts ranging from Bill Clinton to Bill Nye
ColdFusion : Past, present, and future of technology
CrashCourse : small courses on various subjects
Every Frame a Painting : High-quality analysis of films and filmmaking
National Geographic : High volume of high-quality content from all over the world
r/ProgrammerHumor : Subreddit dedicated to exactly what it sounds like
Reddit the front page of the internet : Where free time goes to die
Ridddle : A youtube channel about science, mainly, but not only, the universe and space.
Regex Crossword : A simple crossword game where clues are regex that must be matched.
SciShow : Answers to interesting questions that you’ve always wondered about
SmarterEveryDay : Lots of amazing scientific information about the world around us, usually captured with a high-speed camera
TED : Great talks about technology, entertainment, and design
TestTube News : Interesting information about news from around the world
How to live for a long time ? : The secret of longevity
Vsauce : The best youtube channel
Ox A cuk : How to live a happy life
lonelyspeck : Expose to the Right for Astrophotography in Light Pollution – Palos Verdes, Los Angeles, California

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🔓 Open Source Websites

N-O-D-E : Everything open-source and hacker culture - news, zines, and projects
Open Hatch : OpenHatch is a non-profit dedicated to matching prospective free software contributors with communities, tools, and education.
Source Forge : SourceForge hosts nearly 280,000 projects (at last count). It serves more than 2 million downloads a day and includes apps and tools in a wide variety of categories.
Google Code : Google offers free hosting for open source projects using the Subversion or Mercurial version control systems. It offers 2 GB of storage, integrated code review tools, a wiki, and an issue tracker. The Google Code site also provides links to Google’s many publicly available APIs and other developer tools.
Launch Pad : Maintained by Canonical, LaunchPad is particularly targeted at projects that run on Ubuntu. It provides hosting for more than 21,000 projects that use the Bazaar version control system.
Google Open Source : Google Open Source
Red Hat Developer : The world’s leading provider of open source solutions
Open Source : Open Source
Google Summer of Code : Google Summer of Code is a global program focused on bringing more student developers into open source software development. Students work with an open-source organization on a 3-month programming project during their break from school.
Open Source Web Design : Open Source Web Design is a platform for sharing standards-compliant free web design templates. We give web publishers a voice through good design.
Mozilla Winter of Security : The Winter of Security (MWOS) is a program organized by Mozilla’s Security teams to involve students with Security projects. Students who have to perform a semester project as part of their university curriculum can apply to one of the MWOS projects.
Bit Bucket : Like GitHub, BitBucket hosts both public and private projects. On this site, open-source projects and private projects with fewer than five users are free. It hosts more than 48,000 repositories, many of which are searchable on the site.
Media Wiki : MediaWiki is a free software open source wiki package written in PHP, originally for use on Wikipedia. It is now also used by several other projects of the non-profit Wikimedia Foundation and by many other wikis, including this website, the home of MediaWiki.
Code Curiosity : CodeCuriosity is a platform that encourages contributions to open source. Everyone is rewarded for their efforts, no matter how big or small they are.
Code Triage : Help out your favorite open-source projects and become a better developer while doing it.
Issue Hub : Contribute to Open Source. Search issue labels to find the right project for you
Up for Grabs : This is a list of projects which have curated tasks specifically for new contributors. These are a great way to get started with a project or to help share the load of working on open source projects.
First Timers Only : Contributing to open source for the first time can be scary and a little overwhelming. Perhaps you’re a Code Newbie or maybe you’ve been coding for a while but haven’t found a project you felt comfortable contributing to.
Your First PR : Your First PR helps you get started contributing to Open Source by showcasing great starter issues on GitHub and elsewhere.
Awesome First PR Opportunities : An awesome repository for finding beginner-friendly projects in different programming languages.
EddieHub Open source community : A Supportive community for people who are interested or already contributing in Open source.
MLH Fellowship prgramme:A fully remote, 12-week internship alternative where participants earn a stipend and learn to collaborate on real open source projects with peers and engineers from top companies.

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🌱 Internships

Chegg : It is an awesome resource for finding internships, scholarships, tutors, etc.
Internshala : You can search for internships here according to your skill sets for your interested location. It also helps you in getting a good PPO offer from the company.
Letsintern : Get a smart and challenging internship for you from the LetsIntern.
PerfectIntern: Get help finding a paid internship, resume prep, interview prep, and more!

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💼 Jobs

Wellfound : Wellfound (formerly known as Angellist) is a website for startups, angel investors, and job-seekers looking to work at startups.
CareerBuilder : CareerBuilder is one of the largest job boards, providing job listings, resume posting, and career advice and resources to job seekers.
Dice : Dice is the leading site for tech job seekers. You can search by company, job title, keyword, employment type, and location.
Devsnap : Devsnap is a job aggregator for developer jobs.
DevITjobs UK : Transparent job board for UK based developers
Glassdoor : Find the job that’s right for you. Search all the open positions on the web. Get your own personalized salary estimate.
IAESTE : Find more and amazing international internships and jobs.
Indeed : Find international jobs on Indeed and get a market salary for your dedication and devotion.
Instahyre : Your dream job is here. Showcase yourself to a curated list of top companies. Complete privacy and no spam.
JobsCollider : Tens of thousands of remote jobs from over 10,000 companies and startups worldwide.
Mentat : Get your dream job 10x faster. Never apply for a job ever again, talk directly to decision-makers and hiring managers.
The Muse : Find everything you need to succeed from dream jobs to career advice. You can do a lot here on The Muse like exploring companies, browsing jobs, career advice, discover careers, career coaching. Try it.
Paysa : Paysa helps you in finding new and interesting jobs according to your wish.
SimplyHired : Simply Hired is a free job search engine (and mobile app) that takes the hassle out of getting hired and provides you with all the information you need to make a sound career move.
SwissDev Jobs : Tech job board for Software Engineers that want to work in Switzerland.
Undercover Recruiter : Become Recruiter, Candidate or Employer. You can get your job easily here.
Who is Hiring : An awesome resource for searching, filtering, and finding new and attractive jobs according to your needs and interests.
ZipRecruiter : The Smartest Way to Get Hired.
RemoteML : Remote Machine Learning jobs.
Linkedin jobs : A very nice research tool for programming jobs
GermanTech Jobs : Dedicated job board for tech roles in Germany - with salary brackets
We Work Remotely : The largest remote work community in the world.
OkJob : 4 day week job board.

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🌟 Special Thanks

Please consider a GitHub star if you find this useful and/or consider contributing.
A special thanks to Ashish Padalkar (@ashish2199) for contributing a great amount of data and structure to the initial repository Original Post.

cs-self-learning

Thu, 24 Apr 2025 15:29:04 +0800

PKUFlyingPig/cs-self-learning

CS 自学指南

Everyone should enjoy CS if you have a good teacher to teach you a good course.

新冠肆虐，网课当道，CS 爆火，这一系列的事件都让自学计算机成为了一种潮流。

随着欧美众多名校将质量极高的计算机课程全部开源，自学 CS 成了一件可操作性极强的事情。毫不夸张地说，只要你有毅力和兴趣，自学的成果完全不亚于你在国内任何一所大学受到的本科 CS 教育（当然，这里单指计算机专业领域，大学带给你的显然不止是专业知识）。

我很庆幸在自己大一的时候就选择了自学 CS 这条路，它让我爱上了计算机这门学科，也无比丰富了我的视野。

但同时，自学这条路也有很多困难和阻力：课程繁多不知如何选择，资料零散甚至残缺，作业难度不知深浅，课内任务还需要花时间应付······这些主客观因素叠加到一起，使得好课虽多，却只能在收藏夹里吃灰。

在大学的第四个年头，我想把这一路自学走来的经验和教训，把那些让我受益终身的课程记录下来，分享给大家，形成了这本CS自学指南，以期能给所有想自学计算机的朋友一点帮助。

我的目标是让一个刚刚接触计算机的小白，可以完全凭借这些开源社区的优质资源，少走弯路，在 2-3 年内成长为一个有扎实的数学功底和代码能力，经历过数十个千行代码量的 Project 的洗礼，掌握至少 C/C++/Java/JS/Python/Go/Rust 等主流语言，对算法、电路、体系、网络、操统、编译、人工智能、机器学习、计算机视觉、自然语言处理、强化学习、密码学、信息论、博弈论、数值分析、统计学、分布式、数据库、图形学、Web 开发、云服务、超算等等方面均有所涉猎的全能程序员。此后，无论是选择科研还是就业，我相信你都会有相当的竞争力。

你可以在线免费阅读这本书。英文版请移步这里。

如何成为贡献者

一个人的力量终究是有限的，对于书中任意章节你若有想要补充的内容，欢迎各位提出 Pull Request。如果你想贡献一门新的课程，可以参考目前 repo 中的 template 文件作为模版，并在 mkdocs.yml 文件中添加其navigation，当然你还可以在 CS 学习规划里的对应模块为其添加言简意赅的导语。如果你有想推荐的书籍，请参考好书推荐模块上方的注释按相应格式添加内容。

对于中英混合排版的要点规范，可以参考这个仓库，我们将会对您的 Pull Request 做相应的校对，具体原因参见这个 issue。

本书支持英文版，因此贡献的内容需要提供对应的英文翻译，具体流程可以参考这个 issue。

同时由于个人水平有限，书中难免有笔误甚至概念错误之处，也请各位不吝赐教，在 issue 中提出来。

关于交流社区的建立

本书支持页面评论功能，因此如果你想自学某课程，可以自己建立群聊后（QQ 微信皆可）在对应的课程页面下方发表评论，注明你的学习目标以及加入交流群的途径。此外，过去已有不少朋友在 issue 里建立了类似群聊，可以自行选择直接加入。

Star History

✨ 鸣谢

特别感谢 @AlfredThiel 为项目制作了精美的 Logo。

许可

项目贡献者编写的部分依照 MIT LICENSE。

其余部分（包括但不限于书中提到的课程资源、开源书籍以及视频内容）遵循原作者规定的许可。

Computer Science on Producthunt daily

every-programmer-should-know

Every Programmer Should Know :thinking:

Introduction

Falsehoods

Algorithms

Data Structures

Numbers

Strings

Latency

Time

Memory

Distributed Systems

RegExp

Security

UX/Usability

SEO

Architecture

Code Design

Engineering Philosophy

Practices

Career

Fine-tune Your Resume

Open Source

Remote Work

Problem Solving

Soft Skills

Mental Health

Papers on Programming

Free Books on Programming

Services :zap:

Licenses

Where To Look For Further Info

Coding Practice Sites :zap:

Platform Engineering

computer-science

Open Source Society University

Contents

Summary

Community

Curriculum

Prerequisites

Intro CS

Core CS

Core programming

Core math

CS Tools

Core systems

Core theory

Core security

Core applications

Core ethics

Advanced CS

Advanced programming

Advanced systems

Advanced theory

Advanced Information Security

Advanced math

Final project

Congratulations

Code of conduct

How to show your progress

Team

Java

The Algorithms - Java

All algorithms are implemented in Java (for educational purposes)

Contribution Guidelines

Algorithms

asm-lessons

javascript-algorithms

JavaScript Algorithms and Data Structures

Data Structures

Algorithms

Algorithms by Topic

Algorithms by Paradigm

How to use this repository

Useful Information

References

Big O Notation

Data Structure Operations Complexity

1、👉 如果国内访问Github网速较慢，我在其余平台也放了一份书籍资源，国内访问速度更快，码云、gitcode

7、😜发现一个相当不错的计算机各类种语言&学科学习路线仓库，点此查看