Full Code of ruanyf/free-books for AI

Repository: ruanyf/free-books
Branch: master
Commit: a5b9cb8105ae
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Directory structure:
gitextract_gy89w0a5/

├── README-en.md
├── README.md
└── docs/
    ├── How to get rich - Naval Ravikant.epub
    ├── 任正非文集.epub
    └── 任正非文集.mobi

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FILE CONTENTS
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FILE: README-en.md
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A summary of free books collected by [Technology Enthusiast Weekly](https://github.com/ruanyf/weekly).

Translated into English by [krynv](http://github.com/krynv/).

## Table of Contents

- [Web Development](#Web-Development)
- [System Management](#System-Management)
- [Programming Language](#Programming-Language)
- [Database](#Database)
- [Software Development](#Software-Development)
- [Artificial Intelligence](#Artificial-Intelligence)
- [Theory Books](#Theory-Books)
- [Other](#Other)


## Web Development

1. [React Programming Mode](https://github.com/krasimir/react-in-patterns)
1. [React Application Development Tutorial](https://github.com/tyroprogrammer/learn-react-app/tree/master/src/tutorial)
1. [Acceptance Test Driven Development with React](https://leanpub.com/build-react-app-with-atdd)
1. [React.js book](http://huziketang.mangojuice.top/books/react/) (Chinese)
1. [Website Reliability Workbook](https://landing.google.com/sre/book.html)
1. [Node.js Debugging Guide](https://github.com/nswbmw/node-in-debugging)
1. [Proficient in JavaScript Module](https://github.com/mjavascript/mastering-modular-javascript)
1. [GraphQL Road](https://www.robinwieruch.de/the-road-to-graphql-book/)
1. [http3-explained](https://github.com/bagder/http3-explained)
1. [CSS Animation 101](https://github.com/cssanimation/css-animation-101)
1. [Practical Typography Guide](https://practicaltypography.com/)
1. [OAuth 2.0 Servers](https://www.oauth.com/)
1. [JAMstack Web Development](https://www.netlify.com/oreilly-jamstack/)
1. [Azure Introduction (Second Edition)](https://azure.microsoft.com/en-us/resources/azure-for-architects/), [Download](https://github.com/PacktPublishing/Azure-for-Architects)

## System Management

1. [The Linux Command Line](http://linuxcommand.org/tlcl.php), [Download](http://sourceforge.net/projects/linuxcommand/files/TLCL/13.07/TLCL-13.07.pdf/download), [Chinese translation](http://billie66.github.io/TLCL/index.html)
1. [Learning Command Line](https://hellowebbooks.com/learn-command-line/)
1. [Bird's Linux Private Kitchen](http://linux.vbird.org/) (Chinese)
1. [Introduction to Computer Systems: Using Assembly Language and Linux System as an Example](http://bob.cs.sonoma.edu/IntroCompOrg-x64/book.html)
1. [Computer Network: System Method](https://github.com/SystemsApproach/book)
1. [Introduction to Computer Organization: Taking Raspberry Pi and ARM Assembly Language as an Example](http://bob.cs.sonoma.edu/IntroCompOrg-RPi/frontmatter-1.html)
1. [Computer Network: Principles, Protocols and Practices](http://cnp3book.info.ucl.ac.be/#)
1. [Linux Kernel Uncovering](https://xinqiu.gitbooks.io/linux-insides-cn/content/index.html) (Chinese)
1. [Occupational Engineers School (Ops School)](http://www.opsschool.org/)
1. [File System Design](https://www.amazon.com/exec/obidos/ASIN/1558604979/qid=1012094537/sr=8-1/ref=sr_8_71_1/103-9130044-4352613) (Practical File System Design), [Download](http://www.nobius.org/~dbg/practical-file-system-design.pdf)
 
## Programming Language

1. [Awk Programming Language](https://ia802309.us.archive.org/25/items/pdfy-MgN0H1joIoDVoIC7/The_AWK_Programming_Language.pdf)
1. [C Language Learning Materials](http://www.isthe.com/chongo/tech/comp/c/index.html)
1. C language tutorial: Building a Lisp compiler ([Chinese](https://ksco.gitbooks.io/build-your-own-lisp/), [English](http://www.buildyourownlisp.com/contents))
1. [Essential C](http://cslibrary.stanford.edu/101/EssentialC.pdf) (PDF)
1. [C++ Annotations](http://www.icce.rug.nl/documents/cplusplus/)
1. [C# Language Free Tutorial](https://www.tutlane.com/tutorial/csharp/csharp-tutorial)
1. [Go 101](https://go101.org/)
1. [Go Advanced Programming](https://github.com/chai2010/advanced-go-programming-book)
1. [Computer Science: Taking the Julia Language as an Example](https://benlauwens.github.io/ThinkJulia.jl/latest/book.html)
1. [Using Julia Language to Learn Statistics](https://people.smp.uq.edu.au/YoniNazarathy/julia-stats/StatisticsWithJulia.pdf) (PDF)
1. [Haskell Fun Guide](http://fleurer.github.io/lyah/) (Chinese)
1. [Programming Language Foundations in Agda](https://plfa.github.io/)
1. [Common Lisp Practical Tutorial](http://www.gigamonkeys.com/book/)
1. [OCaml Language Online Tutorial](http://www.cs.cornell.edu/courses/cs3110/2019sp/textbook/)
1. [Introduction to Python Science Applications](http://www.freetechbooks.com/introduction-to-python-for-computational-science-and-engineering-t884.html) (Introduction to Python for Computational Science and Engineering), [Download](http://www.southampton.ac.uk/~fangohr/training/python/pdfs/Python-for-Computational-Science-and-Engineering.pdf)
1. [Python - 100 days from novice to master](https://github.com/jackfrued/Python-100-Days) (Chinese)
1. [Python Language Interactive Tutorial](http://projectpython.net/chapter00/)
1. [Python Algorithms and Data Structures](http://interactivepython.org/runestone/static/pythonds/index.html) (Second Edition), [Chinese Translation](https://github.com/facert/python-data-structure-cn)
1. [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook)
1. [Test-Driven Web Development with Python](https://www.obeythetestinggoat.com/pages/book.html#toc)
1. [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)
1. [How to program with Python3](https://www.digitalocean.com/community/tutorials/digitalocean-ebook-how-to-code-in-python)
1. [Data Science Project Python Combat](https://www.digitalocean.com/community/tutorials/machine-learning-projects-python-a-digitalocean-ebook)
1. [High Performance Go Code Workshop](https://dave.cheney.net/high-performance-go-workshop/gopherchina-2019.html)
1. [I love Ruby](https://i-love-ruby.gitlab.io/)
1. [Introduction to Rust Language](https://stevedonovan.github.io/rust-gentle-intro/readme.html)
1. [Rust Programming Language](https://www.jyotirmoy.net/posts/2018-12-01-rust-book.html)
1. [C/C++ for wasm Programming - Emscripten Engineering Practice](https://github.com/3dgen/cppwasm-book)
1. [Assembly Language Beginner's Course](https://yurichev.com/writings/AL4B-EN.pdf) (PDF)
1. [Introduction to ARM Assembly Language](http://bob.cs.sonoma.edu/IntroCompOrg-RPi/intro-co-rpi.html)
1. [PC Assembly Language](https://pacman128.github.io/pcasm/)

## Database

1. [SQL Open Source Tutorial](https://selectstarsql.com/)
1. [How to develop a simple database](https://cstack.github.io/db_tutorial/)
1. [Database foundation](http://webdam.inria.fr/Alice/)

## Software Development

1. [Crafting Interpreters](http://craftinginterpreters.com/)
1. [Emulator 101](http://www.emulator101.com/)
1. [Composing Programs](http://www.composingprograms.com/)
1. [Write an operating system from scratch](https://github.com/cfenollosa/os-tutorial)
1. [How to Design Programs](https://htdp.org/2018-01-06/Book/index.html) (Second Edition)
1. [sicp-py-zh](https://github.com/wizardforcel/sicp-py-zh) (Chinese)
1. [Algorithm](https://github.com/jeffgerickson/algorithms)
1. [Getting started with reverse engineering](https://github.com/dennis714/RE-for-beginners) (Reverse Engineering for Beginners), [Download](http://beginners.re/Reverse_Engineering_for_Beginners-en.pdf)
1. [Reverse Engineering Beginner Tutorial](https://www.begin.re/)
1. [Qt5 tutorial](https://qmlbook.github.io/)

## Artificial Intelligence

1. [Machine Learning Yearning](https://github.com/ajaymache/machine-learning-yearning) by [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng)
1. [Calculation and inference: the basis of data science](https://ds8.gitbooks.io/textbook/content/)
1. [Artificial intelligence programming paradigm](https://github.com/norvig/paip-lisp)
1. [Bloomberg Machine Learning Course](https://bloomberg.github.io/foml/)
1. [Deep Learning / Machine Learning Interview Notes](https://github.com/imhuay/Interview_Notes-Chinese) (Chinese)
1. [Data mining materials](https://www-users.cs.umn.edu/~kumar001/dmbook/index.php)
1. [Machine learning explanation](https://christophm.github.io/interpretable-ml-book/)
1. [TensorFlow-Course](https://github.com/open-source-for-science/TensorFlow-Course)
1. [Model-based machine learning](http://mbmlbook.com/)
1. [Deep Learning Project](https://github.com/Spandan-Madan/DeepLearningProject)
1. [Introduction to Reinforcement Learning](http://incompleteideas.net/book/the-book.html) (Second Edition)
1. [Grokking Deep Learning](https://livebook.manning.com/#!/book/grokking-deep-learning/)
1. [Neural network and deep learning](https://github.com/nndl/nndl.github.io)
1. [Feature Engineering for Machine Learning](http://fe4ml.apachecn.org/#/) (Chinese)

## Theory Books

1. [Postgraduate textbooks using encryption](http://toc.cryptobook.us/)
1. [Prediction: Principles and Practice](https://otexts.org/fpp2/)
1. [Introduction to Cryptography](https://intensecrypto.org/public/)
1. [Crypto 101](https://www.crypto101.io/)
1. [Programmer's practical cryptography](https://cryptobook.nakov.com/)
1. [Enter pure mathematics](https://infinitedescent.xyz/)
1. [Calculus is easy](http://calculusmadeeasy.org/) (Calculus made easy)
1. [Linear algebra basis for deep learning](https://hadrienj.github.io/posts/Deep-Learning-Book-Series-Introduction/)
1. [Seeing Theory: Introduction to Probability Theory and Statistics](https://seeing-theory.brown.edu/#firstPage)
1. [Linear algebra textbook](http://joshua.smcvt.edu/linearalgebra/#current_version)
1. [Statistics Done Wrong](https://www.statisticsdonewrong.com/index.html)
1. [Computer graphics tutorial](http://www.scratchapixel.com/)
1. [Introduction to Computer Theory](https://introtcs.org/public/index.html)
1. [Getting Started with Quantum Computing by Curios](https://quantum.country/qcvc)
1. [Simple logic](https://book.simply-logical.space/)
1. [Principles and techniques of data science](https://www.textbook.ds100.org/)
1. [Prob 140](http://prob140.org/textbook/README): Probability Theory Textbook
1. [Wrote to the category of Scientists](http://category-theory.mitpress.mit.edu/) (Category Theory for the Sciences), [Download](https://github.com/mmai/Category-Theory-for-the-Sciences)
1. [D3 interpretation of graph theory](https://mrpandey.github.io/d3graphTheory/index.html)

## Other

1. [Ren Zhengfei's anthology](./docs/任正非文集.epub): Ren Zhengfei's hundreds of speeches from 1994 to 2016.
1. [Google Interview Self-study Manual](https://github.com/jwasham/coding-interview-university/blob/master/translations/README-cn.md) (Chinese)
1. [How to succeed in the app store?](https://github.com/amirrajan/survivingtheappstore)
1. [Computing device before the computer](http://ed-thelen.org/comp-hist/CBC.html)
1. [Tokyo Disaster Prevention Handbook](http://www.metro.tokyo.jp/chinese/guide/bosai/index.html) (Chinese)
1. [Google's technical documentation writing guide](https://developers.google.com/style/)
1. [Geometry Original Online](https://www.c82.net/euclid/)
1. [Data visualization foundation](https://serialmentor.com/dataviz/)
1. [Marc Andreessen Entrepreneurship Collection](https://pmarchive.com/)


================================================
FILE: README.md
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免费计算机书籍汇总。

没有注明语种的，都为英语资源。

## 目录

- [一、Web 开发](#一web-开发)
- [二、系统管理](#二系统管理)
- [三、编程语言](#三编程语言)
- [四、数据库](#四数据库)
- [五、软件开发](#五软件开发)
- [六、人工智能](#六人工智能)
- [七、数学理论](#七数学理论)
- [八、其他](#八其他)

## 一、Web 开发

### 1.1 JavaScript 语言

1. The Modern JavaScript Tutorial（[中文](https://zh.javascript.info/)，[英文](https://javascript.info/)）
1. [你不知道的 JS](https://github.com/getify/You-Dont-Know-JS)
1. [Speaking JavaScript](http://speakingjs.com/)
1. [急性子程序员的 JavaScript 教程](https://exploringjs.com/impatient-js/index.html)
1. [JavaScript 语言教程](https://wangdoc.com/javascript/)（中文）
1. [理解 ES6](https://github.com/nzakas/understandinges6/tree/master/manuscript)
1. [探索 ES6](https://exploringjs.com/es6/)
1. [探索 ES2016 和 ES2017](https://exploringjs.com/es2016-es2017.html)
1. [探索 ES2018 和 ES2019](https://exploringjs.com/es2018-es2019/toc.html)
1. [ES6 标准入门](http://es6.ruanyifeng.com/)（中文）
1. [Eloquent JavaScript（第三版）](https://eloquentjavascript.net/)
1. JavaScript 的前20年（JavaScript: The First 20 Years）（[中文](https://cn.history.js.org/)，[英文](https://zenodo.org/record/3707008)）
1. [TypeScript 教程](https://exploringjs.com/tackling-ts/)
1. Node.js 入门（[中文](https://www.nodebeginner.org/index-zh-cn.html)，[英文](https://www.nodebeginner.org/)）
1. [React 编程模式](https://github.com/krasimir/react-in-patterns)
1. [React 应用开发教程](https://github.com/tyroprogrammer/learn-react-app/tree/master/src/tutorial)
1. [Acceptance Test Driven Development with React](https://leanpub.com/build-react-app-with-atdd)
1. [现代 Web 开发](https://fullstackopen.com/en)：Nodejs + React 的在线互动教程。
1. [Node.js 调试指南](https://github.com/nswbmw/node-in-debugging)
1. [精通 JavaScript 模块](https://github.com/mjavascript/mastering-modular-javascript)
1. [GraphQL 之路](https://www.robinwieruch.de/the-road-to-graphql-book/)
1. [JavaScript 数据可视化](http://jsdatav.is/intro.html)
1. [OAuth 2.0 Servers](https://www.oauth.com/)
1. [JAMstack Web 开发](https://www.netlify.com/oreilly-jamstack/)
1. [SICP（JavaScript 版）](https://sicp.comp.nus.edu.sg/)

### 1.2 其他 Web 开发

1. [http3-explained](https://github.com/bagder/http3-explained)
1. [CSS Animation 101](https://github.com/cssanimation/css-animation-101)
1. [实用排版指南](https://practicaltypography.com/)
1. [Azure 介绍（第二版）](https://azure.microsoft.com/en-us/resources/azure-for-architects/)，[下载](https://github.com/PacktPublishing/Azure-for-Architects)
1. [Chrome 扩展及应用开发](https://www.ituring.com.cn/book/1421)（中文）
1. [网站可靠性工作手册](https://landing.google.com/sre/book.html)
1. [WebRTC 教程](https://webrtcforthecurious.com/)（WebRTC for the Curious）

## 二、系统管理

1. [Linux 命令行](http://linuxcommand.org/tlcl.php)（The Linux Command Line）, [下载](http://sourceforge.net/projects/linuxcommand/files/TLCL/13.07/TLCL-13.07.pdf/download)，[中译](http://billie66.github.io/TLCL/index.html)
1. [学习命令行](https://hellowebbooks.com/learn-command-line/)
1. [鸟哥的 Linux 私房菜](https://linux.vbird.org/linux_basic/centos7/)（中文）
1. [Linux 之旅](https://linuxjourney.com/)
1. [Linux 从零开始](http://www.linuxfromscratch.org/lfs/view/10.0-rc1/prologue/foreword.html)（Linux From Scratch）
1. [Bash 脚本教程](https://wangdoc.com/bash/)（中文）
1. [Pure Bash Bible](https://github.com/dylanaraps/pure-bash-bible)
1. [Unix 编程艺术](http://www.catb.org/~esr/writings/taoup/html/)
1. [计算机系统导论：以汇编语言与 Linux 系统为例](http://bob.cs.sonoma.edu/IntroCompOrg-x64/book.html)
1. [计算机网络：系统方法](https://github.com/SystemsApproach/book)
1. [计算机组织导论：以树莓派和 ARM 汇编语言为例](http://bob.cs.sonoma.edu/IntroCompOrg-RPi/frontmatter-1.html)
1. [计算机网络：原理，协议和实践](http://cnp3book.info.ucl.ac.be/#)
1. [Linux 内核揭密](https://xinqiu.gitbooks.io/linux-insides-cn/content/index.html)（中文）
1. [运维工程师学校（Ops School）](http://www.opsschool.org/)
1. [文件系统设计](https://www.amazon.com/exec/obidos/ASIN/1558604979/qid=1012094537/sr=8-1/ref=sr_8_71_1/103-9130044-4352613)（Practical File System Design）, [下载](http://www.nobius.org/~dbg/practical-file-system-design.pdf)
1. [Docker 初学者教程](https://docker-curriculum.com/)
1. [开源应用程序的体系结构](http://aosabook.org/en/)
1. [MacOS 的安全和隐私指南](https://github.com/drduh/macOS-Security-and-Privacy-Guide/blob/master/README-cn.md)（中文）

## 三、编程语言

### 3.1 C，C++

1. [Essential C](http://cslibrary.stanford.edu/101/EssentialC.pdf)（PDF）
1. [Modern C（第二版）](http://modernc.gforge.inria.fr/)
1. [C 语言学习资料](http://www.isthe.com/chongo/tech/comp/c/index.html)
1. [C 语言系统编程](https://github.com/illinois-cs241/coursebook)（[在线阅读](http://cs241.cs.illinois.edu/coursebook/index.html)）
1. C 语言教程：构建 Lisp 编译器（[中文](https://ksco.gitbooks.io/build-your-own-lisp/)，[英文](http://www.buildyourownlisp.com/contents)）
1. [C 语言内部原理](http://www.avabodh.com/cin/cin.html)（C Internals）
1. [C++ Annotations](http://www.icce.rug.nl/documents/cplusplus/)
1. [C/C++ 面向 wasm 编程—— Emscripten 工程实践](https://github.com/3dgen/cppwasm-book)

### 3.2 Go

1. [Go 101](https://go101.org/)
1. [Golangbot 的 Go 语言初级教程](https://golangbot.com/)，[中译](https://www.yuque.com/ksco/ogg7um)
1. [Go 高级编程](https://github.com/chai2010/advanced-go-programming-book)
1. [高性能 Go 代码工坊](https://dave.cheney.net/high-performance-go-workshop/gopherchina-2019.html)
1. [Go 语言编程](https://www.digitalocean.com/community/books/how-to-code-in-go-ebook)（How To Code in Go）

### 3.3 Python

1. [Python 编程基础](https://archive.org/details/2018Fundamentals.ofPython)（PDF）
1. [Python 编程入门](https://github.com/webartifex/intro-to-python)
1. [Python 语法笔记](https://thomas-cokelaer.info/tutorials/python/index.html)
1. [Python 科学应用入门](http://www.freetechbooks.com/introduction-to-python-for-computational-science-and-engineering-t884.html)（Introduction to Python for Computational Science and Engineering）, [下载](http://www.southampton.ac.uk/~fangohr/training/python/pdfs/Python-for-Computational-Science-and-Engineering.pdf)
1. [Python - 100天从新手到大师](https://github.com/jackfrued/Python-100-Days)（中文）
1. [A Byte of Python](https://python.swaroopch.com/)，中译：[简明 Python 教程](https://bop.mol.uno/)
1. [使用 Python 写一个自己的游戏](https://www.dbooks.org/invent-your-own-computer-games-with-python-1503212300/)
1. [The Hitchhiker’s Guide to Python!](https://docs.python-guide.org/)，中译：[Python 开发最佳实践指南](https://pythonguidecn.readthedocs.io/zh/latest/)
1. [廖雪峰 Python 教程](https://www.liaoxuefeng.com/wiki/1016959663602400)（中文）
1. [Python 语言互动教程](http://projectpython.net/chapter00/)
1. [Python 算法与数据结构](http://interactivepython.org/runestone/static/pythonds/index.html)（第二版），[中译](https://github.com/facert/python-data-structure-cn)
1. SICP（Python 版）（[英文](https://wizardforcel.gitbooks.io/sicp-in-python/content/)，[中文](https://github.com/wizardforcel/sicp-py-zh)）
1. [Python 数据科学手册](https://github.com/jakevdp/PythonDataScienceHandbook)
1. [Test-Driven Web Development with Python](https://www.obeythetestinggoat.com/pages/book.html#toc)
1. [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)
1. [如何使用 Python3 编程](https://www.digitalocean.com/community/tutorials/digitalocean-ebook-how-to-code-in-python)
1. [社交媒体挖掘](http://socialdata.site/)
1. [数据科学项目 Python 实战](https://www.digitalocean.com/community/tutorials/machine-learning-projects-python-a-digitalocean-ebook)
1. [HelloDjango - Django 博客教程](https://www.zmrenwu.com/courses/HelloDjango-blog-tutorial/)（中文）
1. [使用 Python 学习计量经济学](https://lectures.quantecon.org/_downloads/pdf/py/Quantitative%20Economics%20with%20Python.pdf)（PDF）
1. [黑客的贝叶斯方法：以 Python 为例](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers)
1. [解决算法和数据结构问题（Python 版）](https://www.cs.auckland.ac.nz/compsci105s1c/resources/ProblemSolvingwithAlgorithmsandDataStructures.pdf)（Problem Solving with Algorithms and Data Structures）

### 3.4 Rust

1. [Rust 语言导论](https://stevedonovan.github.io/rust-gentle-intro/readme.html)
1. [Rust 编程语言](https://www.jyotirmoy.net/posts/2018-12-01-rust-book.html)
1. [Rust By Example](https://doc.rust-lang.org/stable/rust-by-example/index.html)

### 3.5 其他编程语言

1. [编程语言基础：Agda 语言描述](https://agda-zh.github.io/PLFA-zh/)（中文）
1. [Awk 编程语言](https://ia802309.us.archive.org/25/items/pdfy-MgN0H1joIoDVoIC7/The_AWK_Programming_Language.pdf)
1. [C# 语言免费教程](https://www.tutlane.com/tutorial/csharp/csharp-tutorial)
1. [SICP（Clojure 版）](http://www.sicpdistilled.com/)
1. [Clojure for the Brave and True](https://www.braveclojure.com/clojure-for-the-brave-and-true/)
1. [学习 ClojureScript](https://www.learn-clojurescript.com/)
1. [廖雪峰 Java 教程](https://www.liaoxuefeng.com/wiki/1252599548343744)（中文）
1. [计算机科学：以 Julia 语言为例](https://benlauwens.github.io/ThinkJulia.jl/latest/book.html)
1. [使用 Julia 语言学习统计学](https://people.smp.uq.edu.au/YoniNazarathy/julia-stats/StatisticsWithJulia.pdf)（PDF）
1. [Haskell 趣学指南](http://fleurer.github.io/lyah/)（中文）
1. [Real World Haskell 中文版](http://cnhaskell.com/index.html)（中文）
1. [Haskell 语言48小时教程](https://en.wikibooks.org/wiki/Write_Yourself_a_Scheme_in_48_Hours)
1. [Haskell 语言入门](http://dev.stephendiehl.com/hask/)
1. [Common Lisp 实战教程](http://www.gigamonkeys.com/book/)
1. [Lisp 漫画教程](http://www.lisperati.com/casting.html)（Casting Spels in Lisp）
1. [Nim 语言编程](http://ssalewski.de/nimprogramming.html)
1. [OCaml 语言在线教程](http://www.cs.cornell.edu/courses/cs3110/2019sp/textbook/)
1. [高阶 Perl](https://hop.perl.plover.com/)
1. [Prolog 的艺术](https://mitpress.mit.edu/books/art-prolog-second-edition)（The art of Prolog）
1. [我爱 Ruby](https://i-love-ruby.gitlab.io/)
1. [Ruby on Rails Tutorial](https://www.railstutorial.org/book)
1. [汇编语言初学者教程](https://yurichev.com/writings/AL4B-EN.pdf)（PDF）
1. [ARM 汇编语言简介](http://bob.cs.sonoma.edu/IntroCompOrg-RPi/intro-co-rpi.html)
1. [PC Assembly Language](https://pacman128.github.io/pcasm/)

## 四、数据库

1. [SQL 开源教程](https://selectstarsql.com/)
1. [如何开发一个简单的数据库](https://cstack.github.io/db_tutorial/)
1. [数据库基础](http://webdam.inria.fr/Alice/)
1. [PostgreSQL 模式设计](https://www.graphile.org/postgraphile/postgresql-schema-design/)

## 五、软件开发

1. [计算机科学入门](https://www.bottomupcs.com/index.xhtml)
1. [编写解释器](http://craftinginterpreters.com/contents.html)（Crafting interpreters）
1. [Emulator 101](http://www.emulator101.com/)
1. [计算机程序的结构和解释（SICP）](https://mitpress.mit.edu/sites/default/files/sicp/index.html)
1. [编写程序（Composing Programs）](http://www.composingprograms.com/)
1. [从零开始写一个操作系统](https://github.com/cfenollosa/os-tutorial)
1. [编译器教程](https://github.com/DoctorWkt/acwj): 如何写一个最小的 C 语言编译器
1. [写一个 C 语言解释器](https://github.com/lotabout/write-a-C-interpreter/tree/master/tutorial/en)（Write a C interpreter）
1. [System Programming](https://github.com/angrave/SystemProgramming/wiki)
1. [How to Design Programs](https://htdp.org/2018-01-06/Book/index.html)（第二版）
1. [算法](http://jeffe.cs.illinois.edu/teaching/algorithms/)，by Jeff Erickson，[GitHub 仓库](https://github.com/jeffgerickson/algorithms)
1. [A* 算法教程](http://theory.stanford.edu/~amitp/GameProgramming/)
1. [逆向工程入门](https://github.com/dennis714/RE-for-beginners)（Reverse Engineering for Beginners，[英文](http://beginners.re/Reverse_Engineering_for_Beginners-en.pdf)，[中文卷一](https://beginners.re/RE4B-CN-vol1.pdf), [中文卷二](https://beginners.re/RE4B-CN-vol2.pdf)）
1. [逆向工程初学者教程](https://www.begin.re/)
1. [函数式编程：以 Scala 为例](https://github.com/winitzki/sofp)
1. [学习 ClojureScript](https://www.learn-clojurescript.com/)
1. [并行编程](https://mirrors.edge.kernel.org/pub/linux/kernel/people/paulmck/perfbook/perfbook.html)
1. [谷歌 SRE（网站可靠性工程）丛书](https://landing.google.com/sre/books/)
1. [轻松学习 Vim](https://github.com/iggredible/Learn-Vim)（Learn Vim the smart way）
1. [Vim 从入门到精通](https://github.com/wsdjeg/vim-galore-zh_cn)（中文）
1. [Qt5 教程](https://qmlbook.github.io/)
1. [Pro Git book](https://git-scm.com/book)

## 六、人工智能

1. [Machine Learning Yearning](https://github.com/ajaymache/machine-learning-yearning)，by 吴恩达
1. [计算与推断：数据科学基础](https://ds8.gitbooks.io/textbook/content/)
1. [人工智能编程的 Lisp 范例](https://github.com/norvig/paip-lisp)（Paradigms of Artificial Intelligence Programming）
1. [Bloomberg 机器学习课程](https://bloomberg.github.io/foml/)
1. [深度学习/机器学习面试笔记](https://github.com/DiHiera/Algorithm_Interview_Notes-Chinese-master)（中文）
1. [数据挖掘教材](https://www-users.cs.umn.edu/~kumar001/dmbook/index.php)
1. [机器学习解释](https://christophm.github.io/interpretable-ml-book/)
1. 深入深度学习（[英文](https://d2l.ai/)，[中文](https://zh.d2l.ai/)）
1. [TensorFlow-Course](https://github.com/open-source-for-science/TensorFlow-Course)
1. [简单粗暴 TensorFlow 2](https://tf.wiki/)（中文）
1. [基于模型的机器学习](http://mbmlbook.com/)
1. [Deep Learning Project](https://github.com/Spandan-Madan/DeepLearningProject)
1. [强化学习导论](http://incompleteideas.net/book/the-book.html)（第二版）
1. [Grokking Deep Learning](https://livebook.manning.com/#!/book/grokking-deep-learning/)
1. [神经网络与深度学习](https://github.com/nndl/nndl.github.io)
1. [让产品经理全面理解深度学习](https://easyai.tech/blog/65pdf-pm-understand-dl/)（中文）
1. [面向机器学习的特征工程](http://fe4ml.apachecn.org/#/)（中文）
1. [理解机器学习：从理论到算法](https://www.cse.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html)
1. [Dive into Deep Learning](http://www.d2l.ai/index.html)
1. [数据科学基础](https://www.cs.cornell.edu/jeh/book%20no%20so;utions%20March%202019.pdf)
1. [机器学习的数学基础](https://mml-book.github.io/)
1. [自然语言处理](https://github.com/jacobeisenstein/gt-nlp-class/raw/master/notes/eisenstein-nlp-notes.pdf)
1. [面向程序员的深度学习](https://github.com/fastai/fastbook)（Practical Deep Learning for Coders）（[官网](https://course.fast.ai/)）
1. [从头学习机器学习](https://dafriedman97.github.io/mlbook/content/introduction.html)（Machine Learning from Scratch）

## 七、数学理论

### 7.1 微积分

1. [进入纯数学](https://infinitedescent.xyz/)
1. [微积分很容易](http://calculusmadeeasy.org/)（Calculus made easy）

### 7.2 统计与概率

1. [Seeing Theory：概率论和统计入门](https://seeing-theory.brown.edu/#firstPage)
1. [Statistics Done Wrong](https://www.statisticsdonewrong.com/index.html)
1. [统计小手册](http://www.jerrydallal.com/LHSP/LHSP.htm)
1. [统计学习导论](http://faculty.marshall.usc.edu/gareth-james/ISL/)（An Introduction to Statistical Learning）
1. [麻省理工学院统计学课件](https://ocw.mit.edu/courses/mathematics/18-650-statistics-for-applications-fall-2016/lecture-slides/)
1. [Prob 140](http://prob140.org/textbook/README)：概率论教材
1. [预测：原理与实践](https://otexts.org/fpp2/)
1. [数据科学的原理与技巧](https://www.textbook.ds100.org/)
1. [概率、统计和随机过程导论](https://probabilitycourse.com/)
1. [概率，统计和随机过程讲义](https://web.ma.utexas.edu/users/gordanz/lecture_notes_page.html)
1. [随机过程导论](https://web.ma.utexas.edu/users/gordanz/notes/introduction_to_stochastic_processes.pdf)

### 7.3 线性代数

1. [深度学习的线性代数基础](https://hadrienj.github.io/posts/Deep-Learning-Book-Series-Introduction/)
1. [线性代数教材](http://joshua.smcvt.edu/linearalgebra/#current_version)
1. [线性代数](https://hefferon.net/linearalgebra/), by Jim Hefferon
1. [沉浸式线性代数](http://immersivemath.com/ila/index.html)
1. [交互式线性代数教程](https://textbooks.math.gatech.edu/ila/)

### 7.4 密码学

1. [应用加密法的研究生教材](http://toc.cryptobook.us/)
1. [加密学导论](https://intensecrypto.org/public/)
1. [Crypto 101](https://www.crypto101.io/)
1. [密码学很容易](https://link.springer.com/book/10.1007%2F978-3-319-21936-3)（Cryptography Made Simple）
1. [程序员的实用密码学](https://cryptobook.nakov.com/)
1. [密码学的喜悦](http://web.engr.oregonstate.edu/~rosulekm/crypto/)（The Joy of Cryptography）

### 7.5 其他理论书籍

1. [计算机科学的数学基础](https://courses.csail.mit.edu/6.042/spring17/mcs.pdf)（Mathematics for Computer Science, PDF）
1. [计算机图形学教程](http://www.scratchapixel.com/)
1. [计算机科学的理论导论](https://introtcs.org/public/index.html)
1. [好奇者的量子计算入门](https://quantum.country/qcvc)
1. [简单逻辑](https://book.simply-logical.space/)
1. [写给程序员的范畴论](https://github.com/hmemcpy/milewski-ctfp-pdf/)（Category Theory for Programmers）
1. [写给科学家的范畴论](http://category-theory.mitpress.mit.edu/)（Category Theory for the Sciences）, [下载](https://github.com/mmai/Category-Theory-for-the-Sciences)
1. [图论的 D3 解释](https://mrpandey.github.io/d3graphTheory/index.html)
1. [离散数学导论](http://discrete.openmathbooks.org/dmoi3.html)
1. [编译器设计基础](http://hjemmesider.diku.dk/~torbenm/Basics/basics_lulu2.pdf)（PDF）

## 八、其他

1. [Google 面试自学手册](https://github.com/jwasham/coding-interview-university/blob/master/translations/README-cn.md)（中文）
1. [技术面试手册](https://yangshun.github.io/tech-interview-handbook/)
1. [如何在应用商店成功？](https://github.com/amirrajan/survivingtheappstore)
1. [计算机之前的计算设备](http://ed-thelen.org/comp-hist/CBC.html)
1. [日语语法教程](https://res.wokanxing.info/jpgramma/conditionals.html)（中文）
1. [基础德语教程](https://courses.dcs.wisc.edu/wp/readinggerman/print-entire-textbook/)
1. [任正非文集](./docs/任正非文集.epub)：任正非1994年～2018年的几百篇讲话。
1. [老外的深圳电子产品采购指南](https://bunniefoo.com/bunnie/essential/essential-guide-shenzhen-web.pdf)（PDF）
1. [How to get rich](https://nav.al/rich)
1. [Marc Andreessen 创业文集](https://pmarchive.com/)
1. [东京防灾手册](http://www.metro.tokyo.jp/chinese/guide/bosai/index.html)（中文）
1. [谷歌的技术文档写作指南](https://developers.google.com/style/)
1. [《几何原本》在线版](https://www.c82.net/euclid/)
1. [数据可视化基础](https://serialmentor.com/dataviz/)
1. [美国海军电气与电子培训系列教材](https://archive.org/search.php?query=subject%3A%22The+Navy+Electricity+and+Electronics+Training+Series%22&sort=publicdate)