📚Open Library

If you're interested in joining or starting a project at Exohood Labs, we have links to resources on coding, math and science.

AI

• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig

Machine Learning

• A Course in Machine Learning by Hal Daumé III

• Algorithms for Decision Making by Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray

• Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville

• Deep Learning Interviews Second Edition by Shlomo Kashani

• Dive into Deep Learning Compiler

• Machine Learning Engineering Book by Andriy Burkov

• Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

• Physics-based Deep Learning by N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um

• The Hundred Page Machine Learning Book by Andriy Burkov

Computer Games AI

• Game AI Pro by Steve Rabin

• Programming Starcraft AI by Peter Kis

Algorithms

• Algorithms by Jeff Erickson
• Algorithms for Optimization by Mykel J. Kochenderfer and Tim A. Wheeler
• Algorithms for Modern Hardware by Sergey Slotin
• The Arcane Algorithm Archive
• Competitive Programming Algorithms
• Competitive Programmer's Handbook by Antti Laaksonen
• Exact String Matching Algorithms by Christian Charras and Thierry Lecroq
• Introduction to High Performance Scientific Computing by Victor Eijkhout with Edmond Chow and Robert van de Geijn
• Principles of Algorithmic Problem Solving by Johan Sannemo
• Problem Solving with Algorithms and Data Structures using Python by Brad Miller and David Ranum

Command line and tools

• Curl Cookbook
• Curl Exercises by Julia Evans
• How I'm still not using GUIs: A guide to the terminal by Lucas Fernandes da Costa
• The Linux Command Handbook by Flavio Copes

Compilers and Interpreters

• Build Your Own Lisp by Daniel Holden
• Crafting Interpreters by Robert Nystrom
• Creating the Bolt Compiler by Mukul Rathi
• How Clang Compiles a Function by John Regehr
• How LLVM Optimizes a Function by John Regehr
• Let's Build a Compiler by Jack Crenshaw
• Let's Write a Compiler by Brian Robert Callahan

  • Part 1: Introduction, selecting a language, and doing some planning
  • Part 2: A lexer
  • Part 3: A parser
  • Part 4: Testing
  • Part 5: A code generator
  • Part 6: Input and output
  • Part 7: Arrays
  • Part 8: Strings, forward references, and conclusion
• Make A Language - A series about making a programming language called Eldiro using the Rust programming language.

Computer Graphics

• 3D Game Shaders For Beginners
• 3D Math Primer for Graphics and Game Development by Fletcher Dunn and Ian Parberry
• A Primer on Bézier Curves
• Computer Graphics from Scratch by Gabriel Gambetta
• Curves and Surfaces by Bartosz Ciechanowski
• GPU Gems Books Series

  • GPU Gems
  • GPU Gems 2
  • GPU Gems 3
• GPU Performance for Game Artists by Keith O’Conor
• I Am Graphics And So Can You - a series of blog posts about implementing a Vulkan renderer for Doom 3 by Dustin H. Land
• Learn Computer Graphics From Scratch
• Learn OpenGL by Joey de Vries
• Probability Theory for Physically Based Rendering by Jacco Bikker

  • Part 1
  • Part 2
• The Book of Shaders by Patricio Gonzalez Vivo and Jen Lowe
• Vulkan Guide
• Vulkan Tutorial by Alexander Overvoorde
• WebGL2 Fundamentals

Ray Tracing

• How to build a BVH by Jacco Bikker
• NVIDIA Vulkan Ray Tracing Tutorials
• Physically Based Rendering: From Theory To Implementation by Matt Pharr, Wenzel Jakob, and Greg Humphreys
• Ray Tracing Gems by Eric Haines and Tomas Akenine-Möller
• Ray Tracing Gems II by Adam Marrs, Peter Shirley, and Ingo Wald
• Ray Tracing in One Weekend: The Book Series by Peter Shirley
• Vulkan Raytracing Tutorials

Computer Networks and Network Programming

• An Introduction to Computer Networks by Peter L. Dordal
• Computer Networks: A Systems Approach by Larry Peterson and Bruce Davie
• Computer Network Tutorials
• HTTP2 Explained by Daniel Stenberg
• HTTP/3 explained by Daniel Stenberg
• Networking 101 by Internal Pointers
• REST Servers in Go by Ely Bendersky

Cryptography

• A Graduate Course in Applied Cryptography by Dan Boneh and Victor Shoup
• Practical Cryptography for Developers by Svetlin Nakov

Databases

• The Theory of Relational Databases by David Maier

Design Patterns

• Data-Oriented Design by Richard Fabian
• Design Patterns & Refactoring SourceMaking
• From design patterns to category theory by Mark Seemann
• Game Programming Patterns by Robert Nystrom
• The Architecture of Open Source Applications

Distributed systems

• Testing Distributed Systems - Curated list of resources on testing distributed systems by Andrey Satarin.

Game Programming

• 2D Game Development: From Zero To Hero by Daniele Penazzo
• Gentle Introduction to Realtime Fluid Simulation for Programmers and Technical Artists by Shahriar Shahrabi
• Retro Rampage a tutorial series in which you will learn how to build a Wolfenstein-like game from scratch, in Swift by Nick Lockwood
• Reverse engineering the rendering of The Witcher 3
• Scroll Back: The Theory and Practice of Cameras in Side-Scrollers by Itay Keren

GUI Programming

• A Book about Qt5
• Sol on Immediate Mode GUIs

Hardware

• Modern Microprocessors: A 90-Minute Guide! by Jason Robert Carey Patterson
• Processor Design: An Introduction

Logical Games

• Hex: A Strategy Guide by Matthew Seymour

Math

• A Gentle Introduction to Tensors by Boaz Porat
• A Programmer's Introduction to Mathematics by Jeremy Kun
• An Infinitely Large Napkin by Evan Chen
• Approved Textbooks of the American Institute of Mathematics
• Book of Proof, Third Edition by Richard Hammack
• Books by Dr. Kenneth Kuttler
• Calculus Made Easy by Silvanus P. Thompson
• Euclid's Elements
• Paul's Online Math Notes by Paul Dawkins

Algebra

• Algebra: An Elementary Text-Book by George Chrystal
• Immersive Linear Algebra by J. Ström, K. Åström, and T. Akenine-Möller
• Interactive Linear Algebra by Dan Margalit and Joseph Rabinoff
• Intermediate Algebra by Saylor Academy

Category Theory

• Category Theory for Programmers by Bartosz Milewski
• Category Theory Illustrated by Boris Marinov
• Category Theory: Lecture Notes and Online Books - collection by Peter Smith

Probability and Statistics

• Digital textbook on probability and statistics by Marco Taboga
• Introduction to Probability for Data Science by Stanley H. Chan
• Markov Chains for programmers by Ricardo M. Czekster
• Seeing Theory - a book about statistics with interactive visualizations by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, and Daniel Xiang

Theoretical Computer Science

• Foundations of Computer Science by Alfred V. Aho and Jeffrey D. Ullman
• Introduction to Theoretical Computer Science by Boaz Barak

Multithreading and Concurrency

• Is Parallel Programming Hard, And, If So, What Can You Do About It? by Paul E. McKenney
• POSIX Threads Programming by Blaise Barney
• The Little Book of Semaphores by Allen B. Downey

Operating Systems

• Linux Insides by 0xAD
• Making our own executable packer by Amos
• Operating Systems: Three Easy Pieces by Remzi H Arpaci-Dusseau and Andrea C Arpaci-Dusseau
• Systems Programming: Lecture Notes by Jian Huang
• The Linux Documentation Project
• Writing a Simple Operating System — from Scratch by Nick Blundell
• Writing an OS in Rust by Philipp Oppermann

Physics

• A free introduction to quantum computing and quantum mechanics by Andy Matuschak and Michael Nielsen
• Motion Mountain by Christoph Schiller - A free physics textbook in 5 volumes.
• Relativity: A Modern Primer by Kevin Han
• Structure and Interpretation of Classical Mechanics, Second Edition by Gerald Jay Sussman and Jack Wisdom
• The Feynman Lectures on Physics

Programming languages

Assembly

• A fundamental introduction to x86 assembly programming by Nayuki
• Learn Assembly Language - NASM x86 assembly language tutorial on Linux.
• Let's Learn x86-64 Assembly!

  • Part 0 - Setup and First Steps
  • Part 1 - Metaprogramming in Flat Assembler
  • Part 2 - We're Writing a Virtual Machine
  • Part 3 - Arithmetic and Logic
• NASM Tutorial

Basic

• BBC BASIC for SDL 2.0

C

• Coroutines in C by Simon Tatham
• How Does a C Debugger Work?
• The Lost Art of Structure Packing by Eric S. Raymond
• Unicode programming, with examples by Joe Nelson

C++

• Awesome Modern C++
• Beginner's Guide to Linkers by David Drysdale
• Hacking C++
• C++20 Coroutines: sketching a minimal async framework by Jeremy Ong
• C++20 Concepts: The Definitive Guide by Rajat Jain
• C++ exceptions under the hood by Nicolás Brailovsky
• Microsoft C++ language documentation
• Performance Analysis and Tunning on Modern CPUs by Denis Bakhvalov

Clojure

• Clojure Concurrency Tutorial by Eric Normand
• Clojure for the Brave and True by Daniel Higginbotham

Common Lisp

• Practical Common Lisp by Peter Seibel
• The Common Lisp Cookbook

D

• Programming in D by Ali Çehreli

Erlang

• Learn You Some Erlang for great good! by Fred Hebert

Go

• Network Programming with Go by Jan Newmarch
• Practical Go Lessons by Maximilien Andile

Haskell

• Learn You a Haskell for Great Good! by Miran Lipovača
• Monday Morning Haskell
• Real World Haskell by Bryan O'Sullivan, Don Stewart, and John Goerzen

JavaScript

• Eloquent JavaScript by Marijn Haverbeke
• The Modern JavaScript Tutorial by Ilya Kantor

Nim

• Computer Programming with the Nim Programming Language by Dr. Stefan Salewski

OCaml

• Real World OCaml by Yaron Minsky, Anil Madhavapeddy and Jason Hickey

Pascal

• Modern Object Pascal Introduction for Programmers by Michalis Kamburelis

Pyret

• Programming and Programming Languages

Python

• Automate the Boring Stuff with Python by Al Sweigart
• Composing Programs by John DeNero
• Learn Python the Right Way
• Scientific Visualization: Python + Matplotlib by Nicolas Rougier

Racket

• Beautiful Racket by Matthew Butterick
• How to Design Programs, Second Edition by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi

Regular expressions

• Implementing Regular Expressions by Russ Cox
• Learn RegEx step by step, from zero to advanced
• RegexOne
• Regular-Expressions.info by Jan Goyvaerts
• Rex Eats Regular Expressions for Breakfast

Rust

• A Gentle Introduction to Rust by Steve Donovan
• Exploring ways to make async Rust easier by Carl Lerche
• Rust Language Cheat Sheet
• Things you can’t do in Rust (and what to do instead)

Scheme

• Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman with Julie Sussman

Retrocomputing

• An Afterlife User's Guide to the C64 by Gregorio Naçu
• Famicom Party: Making NES Games in Assembly by Kevin Zurawel
• First Steps in Z80 Assembly Language by Darryl Sloan
• How to Write ZX Spectrum Games by Jonathan Cauldwell
• Learn Multiplatform Assembly Programming by ChibiAkumas
• The Lost Ways of Programming: Commodore 64 BASIC by Tomas Petricek
• Z80 User's Manual

Reverse engineering

• Reverse Engineering for Beginners by Dennis Yurichev
• Reversing for dummies - x86 assembly and C code by Sami Alaoui
• Linux Reverse Engineering CTFs for Beginners

Robotics

• Modern Robotics: Mechanics, Planning, and Control by Kevin M. Lynch and Frank C. Park
• Underactuated Robotics by Russ Tedrake

Text editors

• Build Your Own Text Editor
• Learn Vim (the Smart Way) by Igor Irianto
• The Vi/Ex Editor by Walter Alan Zintz
• Vim Reference Guide by Sundeep Agarwal

Version control tools

• Git from the Bottom Up by John Wiegley
• Learn the workings of Git, not just the commands by Andre Fachat

Emulators and Virtual Machines

• Write your Own Virtual Machine
• Writing NES emulator in Rust by Rafael Bagmanov

Web programming

• Intro to Web Dev
• FastCGI — The Forgotten Treasure by Peter Simons and Ralph Babel

Other

• Beej's Guides
• Computer Science from the Bottom Up by Ian Wienand
• How These Things Work - a book about abstraction
• Memory Management Reference
• Teach Yourself Computer Science