Ray Tracing

• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• A raycasting engine in 7 easy steps
• Getting Started With DirectX Raytracing
• How to build a BVH
• Part 1
• Part 2
• Physically Based Rendering: From Theory To Implementation
• Ray-Casting Tutorial For Game Development And Other Purposes
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Demystifying multiple importance sampling
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing with Voxels in C++
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II
• Ray Tracing Gems - Möller*
• Ray Tracing Gems II

Linux command line

• 3D Math Primer for Graphics and Game Development
• A Gentle Introduction to D3D12
• Computer Graphics from Scratch
• GPU Gems
• GPU Gems 2
• GPU Gems 3
• GPU Performance for Game Artists
• Let's Make a Voxel Engine
• Lode's Computer Graphics Tutorial
• Marching Cubes, Explained Using Marching Squares
• Part 1
• Part 2
• Part 1
• Part 2
• RasterTek toturials
• WebGL2 Fundamentals
• Part 2 - Visibility buffer
• Part 3 - Cluster rendering
• Part 4 - LOD generation
• Part 5 - A basic material pass
• Part 6 - LOD generation - faster, better, simpler
• Part 7 - Runtime LOD selection
• Part 1 - The Plan
• Part 8 - Mesh shader time
• Physically Based Rendering in Filament
• Crash Course in BRDF Implementation
• GPU Work Graphs mesh nodes in Microsoft DirectX® 12

Curves and Surfaces

• Cubic spline interpolation

Demoscene

• Part 1: A dive into the making of Immersion
• Part 2: Texturing in a 64kB intro
• Part 3: Procedural 3D mesh generation in a 64kB intro
• How a 64k intro is made

Shaders

• Part 1
• Part 2
• Part 3
• Part I: The blob
• Mesh Shaders on RDNA™ Graphics Cards
• The Book of Shaders
• Mesh Shaders on RDNA™ Graphics Cards
• Introducing GPU Reshape - shader instrumentation for everyone

Vulkan

• I Am Graphics And So Can You - a series of blog posts about implementing a Vulkan renderer for Doom 3 by *Dustin H. Land*
• Vulkan Raytracing Tutorials
• How I learned Vulkan and wrote a small game engine with it

WebGPU

• Migrating from WebGL to WebGPU
• Your first WebGPU app

OpenGL

• Best Practices for Modern OpenGL

Image Processing

• Atkinson Dithering

Python

• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Composing Programs
• From Python to Numpy
• Learn Python the Right Way
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Practical Python Programming
• Python Asyncio: The Complete Guide
• Python for Data Analysis, 3rd edition
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Think Python, 3rd Edition
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• How Python Asyncio Works: Recreating it from Scratch
• Modern Good Practices for Python Development
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• NumPy Illustrated: The Visual Guide to NumPy
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Pandas Illustrated: The Definitive Visual Guide to Pandas
• Test-Driven Development with Python

Go

• REST Servers in Go
• Network Programming with Go

Simulations

• Introduction to the Theory of Programming Languages

Assembly

• A fundamental introduction to x86 assembly programming
• 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
• RISC-V Assembly Programming
• x86-64 Assembly Language Programming with Ubuntu
• NASM Tutorial

Basic

• BBC BASIC for SDL 2.0

C

• Compiler Options Hardening Guide for C and C++
• Coroutines in C
• Demystifying bitwise operations, a gentle C tutorial
• Object-Oriented Programming with ANSI-C - Tobias Schreiner* **[pdf]**
• So You Think You Know C?
• Writing a Simple Garbage Collector in C
• How to implement a hash table (in C)
• Implementing smart pointers for the C programming language

C++ <span id="cpp">

• Awesome Modern C++
• C++ exceptions under the hood
• C++20 Coroutines: sketching a minimal async framework
• C++20 Concepts: The Definitive Guide
• Fiber in C++: Understanding the Basics
• Hacking C++
• Microsoft C++ language documentation
• Performance Analysis and Tunning on Modern CPUs
• The Boost C++ Libraries
• Part 2: Memory Usage Case Study
• Part 3: Memory Footprint with SDE
• Part 4: Memory Footprint Case Study
• Part 5. Data Locality and Reuse Distances
• Part 4: Catching what you throw
• Part 20: Running destructors while unwinding
• Part 8: Two-phase handling
• Part 14: Multiple landing pads & the teachings of the guru
• Appendix II: Metaclasses and RTTI on C++
• Appendix III: RTTI and exceptions orthogonality

D

• Programming in D

Haskell

• Monday Morning Haskell
• Monads for functional programming

Java

• How to Design Classes

JavaScript

• Speaking JavaScript: An In-Depth Guide for Programmers
• Mostly adequate guide to FP (in JavaScript)
• Structure and Interpretation of Computer Programs — JavaScript Edition

Lisp dialects

• Babashka Babooka: Write Command-Line Clojure
• Clojure Concurrency Tutorial
• Clojure for the Brave and True
• Learn Lisp The Hard Way
• Successful Lisp: How to Understand and Use Common Lisp
• Typed Lisp, A Primer - hassy*
• Part II
• Beautiful Racket
• How to Design Programs
• Structure and Interpretation of Computer Programs

Nim

• Computer Programming with the Nim Programming Language

OCaml

• OCaml Programming: Correct + Efficient + Beautiful

Oberon-2

• Object-Oriented Programming in Oberon-2

Pascal

• Modern Object Pascal Introduction for Programmers

PostScript

• Learning PostScript by Doing

Prolog

• The Power of Prolog

Pyret

• A Data-Centric Introduction to Computing
• Programming and Programming Languages

Regular expressions

• Implementing Regular Expressions
• Learn RegEx step by step, from zero to advanced
• Rex Eats Regular Expressions for Breakfast

Rust

• A Gentle Introduction to Rust
• Beginner's guide to Error Handling in Rust
• Effective Rust
• Exploring ways to make async Rust easier
• Learning Async Rust With Entirely Too Many Web Servers
• Rust Atomics and Locks: Low-Level Concurrency in Practice
• Things you can’t do in Rust (and what to do instead)
• 100 Exercises To Learn Rust

Smalltalk

• Smalltalk Resources - A list of free smalltalk books.

Forth

• Thinking Forth

Odin

• Introduction to the Odin Programming Language

Ada

• Ada 95: The Craft of Object-Oriented Programming

Machine Learning

• Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
• Deep Learning
• Deep Learning Course
• Deep Learning: Foundations and Concepts
• Dive into Deep Learning Compiler
• Information Theory, Inference, and Learning Algorithms
• Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory
• Mathematics for Machine Learning
• Neural Networks: Zero to Hero - A course by *Andrej Karpathy*
• Physics-based Deep Learning
• Probabilistic Machine Learning: An Introduction
• Probabilistic Machine Learning: Advanced Topics
• The Little Book of Deep Learning
• A Course in Machine Learning
• Deep Reinforcement Learning: Zero to Hero!
• Machine Learning Engineering Book
• Machine Learning Engineering Open Book
• Speech and Language Processing, 3rd edition
• The Elements of Differentiable Programming
• Learning Theory from First Principles
• Alice’s Adventures in a differentiable wonderland
• Applied Machine Learning for Tabular Data
• Deep Learning Interviews
• Crash Course in Deep Learning (for Computer Graphics)
• The Engineer's Guide To Deep Learning
• A Comprehensive Guide to Machine Learning

Computer Games AI

• Programming Starcraft AI

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

Computer Games AI

• Foundations of Data Science
• Algorithms
• Algorithms and Data Structures
• Algorithms for Optimization
• The Arcane Algorithm Archive
• Competitive Programming Algorithms
• Competitive Programmer's Handbook
• Exact String Matching Algorithms
• How does B-tree make your queries fast?
• Introduction to Algorithms: A Creative Approach
• Planning Algorithms
• Principles of Algorithmic Problem Solving
• Purely Functional Data Structures
• Sequential and Parallel Data Structures and Algorithms: The Basic Toolbox
• Monte-Carlo Graph Search from First Principles
• Collision Detection
• Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines

Computer Games AI

• Pixel art articles and tutorials

Computer Games AI

• Introduction to Genomics for Engineers
• The Algorithmic Beauty of Plants

Computer Games AI

• Driving Compilers
• Getting started with tmux
• NixOS & Flakes Book - An unofficial book for beginners by *Ryan Yin*

Curl

• Curl Exercises
• Mastering curl: interactive text guide

Computer Games AI

• The Definitive Guide To Docker
• How I'm still not using GUIs: A guide to the terminal
• Use Midnight Commander like a pro
• How is a binary executable organized? Let's explore it!

Linux command line

• Effective Shell
• Linux command line for you and me
• The Linux Command Handbook
• The Linux Command Line

Curl

• Curl Cookbook

Linux command line

• Part 1
• Part 2: Building a baseline JIT for Lua automatically
• Creating the Bolt Compiler
• How Clang Compiles a Function
• How LLVM Optimizes a Function
• Part 1
• Part 2
• Part 3
• 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

WebGPU

• HTTP/3 explained
• Networking 101
• Computer Network Tutorials
• Computer Network Tutorials
• Mediocre Engineer’s guide to HTTPS
• Computer Network Tutorials
• Computer Network Tutorials

WebGPU

• Cryptography: An Introduction (3rd Edition)

WebGPU

• How Does a C Debugger Work?
• Part 1 - Attaching to a Process
• Part 2 - Register State and Stepping
• Part 3 - Reading Memory
• Part 4 - Exports and Private Symbols
• Part 5 - Breakpoints
• Part 6 - Stacks
• Part 7 - Disassembly
• Part 8 - Source and Symbols

WebGPU

• Database Fundamentals
• MySQL for Developers
• PostgreSQL 14 Internals
• The Theory of Relational Databases
• Database Design for Google Calendar: a tutorial
• The Internals of PostgreSQL

WebGPU

• Data Engineering Design Patterns (DEDP)
• Handles are the better pointers
• Game Programming Patterns

WebGPU

• Distributed systems for fun and profit
• Notes on Theory of Distributed Systems

WebGPU

• Lessons in Electric Circuits

WebGPU

• 5 Days To Virtualization: A Series On Hypervisor Development
• GameBoy Emulation in JavaScript
• Part 1
• Part 2
• Part 3

WebGPU

• 2D Game Development: From Zero To Hero
• Roguelike Tutorial - In Rust
• Reverse engineering the rendering of The Witcher 3
• Scroll Back: The Theory and Practice of Cameras in Side-Scrollers
• Write a First Person Game in 2KB With Rust
• Write a First Person Game in 2KB With Rust
• Books by Wireframe Magazine

Game Engines

• Godot Engine 4 Tutorials

Game Engines

• Minimal Cross-Platform Graphics
• Sol on Immediate Mode GUIs
• X Window System Basics
• Sol on Immediate Mode GUIs
• theForger's Win32 API Programming Tutorial

Game Engines

• Architecture of Consoles
• Processor Design: An Introduction
• What Every Programmer Should Know About Memory
• How Microchips Work

Game Engines

• Hex: A Strategy Guide
• The World's Fastest Scrabble Program

Game Engines

• A gentle introduction to two's complement
• Memory Management Reference
• Onboarding floating-point
• Memory Profiling
• Beginner's Guide to Linkers

Game Engines

• 3Blue1Brown lessons
• A Gentle Introduction to Tensors
• A Programmer's Introduction to Mathematics
• An Infinite Descent into Pure Mathematics
• An Infinitely Large Napkin
• An introduction to graph theory
• Books by *Dr. Kenneth Kuttler*
• Euclid's Elements
• Everything You Always Wanted To Know About Mathematics
• Introduction to Homotopy Type Theory
• Paul's Online Math Notes
• The Princeton Companion to Mathematics - editor* **[pdf]**
• A Gentle Introduction to the Art of Mathematics
• Approved Textbooks
• An animated introduction to Fourier Series

Algebra

• Algebra: An Elementary Text-Book
• Intermediate Algebra
• Linear Algebra Done Wrong
• Immersive Linear Algebra - Möller*

Calculus

• Calculus Made Easy
• Introduction to Calculus

Category Theory

• Category Theory for Programming
• Category Theory: Lecture Notes and Online Books - collection by *Peter Smith*
• Seven Sketches in Compositionality: An Invitation to Applied Category Theory

Probability and Statistics

• Bayes Rules! An Introduction to Applied Bayesian Modeling
• Digital textbook on probability and statistics
• Introduction to Probability for Data Science
• Probability 101, the intuition behind martingales and solving problems with them
• Probability and Statistics Cookbook
• Introduction to Modern Statistics (2nd Ed) - Rundel and Johanna Hardin*
• Probability 101, the intuition behind martingales and solving problems with them

Theoretical Computer Science

• Busy Beavers! - An interactive intro to Computability Theory
• Elements of Programming
• Foundations of Computer Science
• Mathematics and Computation

Topology

• Algebraic Topology for Data Scientists
• Computational Algebraic Topology
• Topology Without Tears

Geometry

• Planes in 3D space

Topology

• A C++17 Thread Pool for High-Performance Scientific Computing
• A Science of Concurrent Programs
• Is Parallel Programming Hard, And, If So, What Can You Do About It?

Topology

• A Journey in Creating an Operating System Kernel
• Linux Insides
• Making our own executable packer
• Operating Systems: Three Easy Pieces - Dusseau* and *Andrea C Arpaci-Dusseau*
• OSDev.org
• Systems Programming: Lecture Notes
• The Art of Unix Programming
• Unix as IDE
• Advanced Linux Programming
• Writing an OS in Nim

Operating Systems Development

• Writing a Simple Operating System — from Scratch
• Part 1 - Project Setup
• Part 2 - Kernel in virtual addresses
• Part 3 - Managing free memory
• OSDev.org

Topology

• Photography for geeks

Topology

• Motion Mountain - A free physics textbook
• Structure and Interpretation of Classical Mechanics
• Physics for Mathematicians
• Relativity: A Modern Primer

Simulations

• Ten Minute Physics

Operating Systems Development

• Structure and Interpretation of Classical Mechanics
• The Feynman Lectures on Physics
• An Intuitive Guide to Maxwell’s Equations

Zig

• A Guide to the Graphics of the Sega Mega Drive / Genesis
• An Afterlife User's Guide to the C64
• Apple II Documentation Project
• Commodore 64 Guides
• Commodore Bookmarks - Bookmarks for the Commodore 64, 128, Plus4, C16, VIC20 & PET Community.
• Famicom Party: Making NES Games in Assembly
• First Steps in Z80 Assembly Language
• How to Write ZX Spectrum Games
• Learn Multiplatform Assembly Programming
• MEGA65 Documentation
• MEGA65 Welcome Guide
• Michael Abrash’s Graphics Programming Black Book, Special Edition
• Multiplying and Dividing on the 6502
• Sinclair ZX Spectrum BASIC programming
• The Lost Ways of Programming: Commodore 64 BASIC
• Z80 User's Manual
• Usborne 1980s Computer Books
• Neil Parker's Apple II page

Adevent of code on retro machines

• Advent of Code 2022 on a MikroMikko 4TT m326
• Advent Of Code 2023 on a Commodore 64

Books by Fabien Sanglard

• Game Eengine Black Book: Doom
• Game Eengine Black Book: Wolfenstein 3D
• The Book of CP-System

DOS

• From 0 to 1 MB in DOS
• Beyond the 1 MB barrier in DOS
• How Cosmo’s Cosmic Adventure DOS game works?
• 256-Color VGA Programming in C

Books by Fabien Sanglard

• Applied Reverse Engineering Series

DOS

• Reversing for dummies - x86 assembly and C code
• Reversing for dummies - x86 assembly and C code

Books by Fabien Sanglard

• Introduction to Autonomous Robots
• Modern Robotics: Mechanics, Planning, and Control
• The open online robotics education resource

DOS

• Underactuated Robotics

DOS

• ARM NEON for C++ Developers
• SIMD for C++ Developers

Books by Fabien Sanglard

• Designing a SIMD Algorithm from Scratch

Books by Fabien Sanglard

• Design and Implementation of a Win32 Text Editor

DOS

• Text Editor: Data Structures
• Text Buffer Reimplementation

Emacs

• Part 1: Foundations
• Part 2: Projects and Keybindings
• How to learn Emacs
• Use GNU Emacs: The Plain Text Computing Environment
• Part 3: LSP & Tree-sitter

Vim

• The Vi/Ex Editor
• Vim from the ground up

Vim

• Programming with Unicode
• The Absolute Minimum Every Software Developer Must Know About Unicode in 2023
• Unicode programming, with examples

Vim

• Learn the workings of Git, not just the commands

Vim

• A book about using Node.js
• FastCGI — The Forgotten Treasure
• Single page apps in depth
• The Flask Mega-Tutorial
• FastCGI — The Forgotten Treasure

CSS

• Learn CSS Layout the pedantic way

CSS

• Agner Fog's Website
• Beej's Guides
• Explained from First Principles
• How These Things Work - a book about abstraction
• Rocket and Space Technology
• Software Technical Writing: A Guidebook
• The Fundamentals of Control Theory
• The Scientist and Engineer's Guide to Digital Signal Processing
• Project Oberon: The Design of an Operating System, a Compiler, and a Computer

CSS

• Build Your Own X
• Electronic References - a loosely-categorized collection of links to CS textbooks in a variety of areas that are freely available online.
• Free Computer Books
• Free Tech Books
• GPU Optimization for GameDev
• Project Based Learning
• Electronic References - a loosely-categorized collection of links to CS textbooks in a variety of areas that are freely available online.

WebGPU

• Advanced Data Science: Statistics and Prediction Algorithms Through Case Studies
• Introduction to Data Science: Data Wrangling and Visualization with R

WebGPU

• Gentle Introduction to Realtime Fluid Simulation for Programmers and Technical Artists
• Simulating Fluids, Fire, and Smoke in Real-Time

Topology

• CPU performance optimization guide - Preface
• Part 1