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README-en.md 10.78 KB

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/chapters/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/)

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提交于 2019-08-28 21:36 . Update README-en.md

A summary of free books collected by Technology Enthusiast Weekly.

Translated into English by krynv.

Table of Contents

Web Development
System Management
Programming Language
Database
Software Development
Artificial Intelligence
Theory Books
Other

Web Development

System Management

Programming Language

Awk Programming Language
C Language Learning Materials
C language tutorial: Building a Lisp compiler (Chinese, English)
Essential C (PDF)
C++ Annotations
C# Language Free Tutorial
Go 101
Go Advanced Programming
Computer Science: Taking the Julia Language as an Example
Using Julia Language to Learn Statistics (PDF)
Haskell Fun Guide (Chinese)
Programming Language Foundations in Agda
Common Lisp Practical Tutorial
OCaml Language Online Tutorial
Introduction to Python Science Applications (Introduction to Python for Computational Science and Engineering), Download
Python - 100 days from novice to master (Chinese)
Python Language Interactive Tutorial
Python Algorithms and Data Structures (Second Edition), Chinese Translation
Python Data Science Handbook
Test-Driven Web Development with Python
Automate the Boring Stuff with Python
How to program with Python3
Data Science Project Python Combat
High Performance Go Code Workshop
I love Ruby
Introduction to Rust Language
Rust Programming Language
C/C++ for wasm Programming - Emscripten Engineering Practice
Assembly Language Beginner's Course (PDF)
Introduction to ARM Assembly Language
PC Assembly Language

Database

Software Development

Crafting Interpreters
Emulator 101
Composing Programs
Write an operating system from scratch
How to Design Programs (Second Edition)
sicp-py-zh (Chinese)
Algorithm
Getting started with reverse engineering (Reverse Engineering for Beginners), Download
Reverse Engineering Beginner Tutorial
Qt5 tutorial

Artificial Intelligence

Theory Books

Postgraduate textbooks using encryption
Prediction: Principles and Practice
Introduction to Cryptography
Crypto 101
Programmer's practical cryptography
Enter pure mathematics
Calculus is easy (Calculus made easy)
Linear algebra basis for deep learning
Seeing Theory: Introduction to Probability Theory and Statistics
Linear algebra textbook
Statistics Done Wrong
Computer graphics tutorial
Introduction to Computer Theory
Getting Started with Quantum Computing by Curios
Simple logic
Principles and techniques of data science
Prob 140: Probability Theory Textbook
Wrote to the category of Scientists (Category Theory for the Sciences), Download
D3 interpretation of graph theory

Other

Ren Zhengfei's anthology: Ren Zhengfei's hundreds of speeches from 1994 to 2016.
Google Interview Self-study Manual (Chinese)
How to succeed in the app store?
Computing device before the computer
Tokyo Disaster Prevention Handbook (Chinese)
Google's technical documentation writing guide
Geometry Original Online
Data visualization foundation
Marc Andreessen Entrepreneurship Collection

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