Computer Science

Programming Languages

• List of Free Learning Resources In Many Languages

Cool infographics:

• Computer Languages Timeline
• Unix Timeline

Python:

• (Open Access) Python for Everybody by Dr. Charles R. Severance (Dr. Chuck)
• (Open Access) Think Python 2nd Edition by Allen B. Downey
• (Open Access) Python Data Science Handbook by Jake VanderPlas
• (Open Access) Guide to NumPy by Travis E. Oliphant, PhD
• (Open Access) Lectures on scientific computing with Python by Robert Johansson
• (Open Access) Advanced Python Development
• (Website) Python GUIs
• PEP 8 – Style Guide for Python Code
• (Website) Python Design Patterns

C:

• The Definitive C Book Guide and List
• Head First C

C++:

• Programming — Principles and Practice Using C++ “This is an introduction to programming for people who have never programmed before”
• A Tour of C++ (Third edition) “The tour is a quick tutorial overview of all of standard C++ at a moderately high level for people who already know C++ or at least are experienced programmers.”
• The C++ Programming Language (4th Edition) “If you are looking for a more complete description of C++ and the styles of programming it supports”
• C++ Programming - WikiBooks
• The Definitive C++ Book Guide and List

C/C++ tootling:

• CMake hands-on workshop
• An Introduction to Modern CMake

Javascript:

• JavaScript - MDN
• Modern JavaScript by Daniel Rubio
• The Modern JavaScript Tutorial by Ilya Kantor
• Airbnb JavaScript Style Guide

Rust:

• The Rust Programming Language by Steve Klabnik and Carol Nichols, with contributions from the Rust Community

SQL:

• PostgreSQL for Everybody (PG4E)

Software Related

• Design Patterns - Refectoring Guru

Networking

• Tcp/Ip Illustrated, Volume 1: The Protocols, 2nd Edition by Kevin R. Fall, W. Richard Stevens.
• Internetworking with TCP/IP Volume One, 6th Edition by Douglas E. Comer.
• The TCP/IP Guide: A Comprehensive, Illustrated Internet Protocols Reference by Charles M. Kozierok
• ZeroMQ: Messaging for Many Applications by Pieter Hintjens

Theory of Computing

• CS235 Introduction to the theory of computation

AI, ML, DL, RL

Machine Learning:

• Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
• Mathematics for Machine Learning
• Data Driven Science & Engineering (PDF)[http://databookuw.com/databook.pdf] by Steven L. Brunton and J. Nathan Kutz

Neural Networks:

• Neural Networks from Scratch

Deep Learning:

• (Open Access) Neural Networks and Deep Learning by Michael Nielsen.
• (Open Access) Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville.
• (Open Access) Dive into Deep Learning by Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola, Et al.

Reinforcement Learning:

• Reinforcement Learning: An Introduction
• Multi-Agent Reinforcement Learning: Foundations and Modern Approaches by Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
• CUDA by Example: An Introduction to General-Purpose GPU Programming

Computer Vision

Note: For robotics related Computer Vision check Subject Areas under robotics section.

• Computer Vision: Algorithms and Applications, 2nd ed. by Richard Szeliski
• Computer Vision: Models, Learning, and Inference

Flow-based programming

• Flow-based Programming by J. Paul Rodker Morrison

Awesome Lists

• Build your own X

Other Resources

• Vim Visual Cheat Sheet by Serge Y. Stroobandt