Agentic Design Patterns

by Antonio Gulli

Maths, CS & AI Compendium

by Henry Ndubuaku

Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

by Peter Norvig

A Brief Introduction to Machine Learning for Engineers

by Osvaldo Simeone

A Brief Introduction to Neural Networks

by David Kriesel

A Comprehensive Guide to Machine Learning

by Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang, Jennifer Listgarten, Anant Sahai [pdf]

A Course in Machine Learning

by Hal Daumé III

A Gentle Introduction to Graph Neural Networks

by Benjamin Sanchez-Lengeling, Emily Reif, Adam Pearce and Alexander B. Wiltschko

Algorithmic Aspects of Machine Learning

by Ankur Moitra [pdf]

Algorithms for Artificial Intelligence

by Robert J. Moss [dpf] [Stanford]

Alice’s Adventures in a differentiable wonderland

by Simone Scardapane

An Illustrated Guide to Automatic Sparse Differentiation

by Adrian Hill, Guillaume Dalle, and Alexis Montoison

An Introduction to Statistical Learning

by Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani

Applied Causal Inference Powered by ML and AI

by Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, and Vasilis Syrgkanis

Applied Machine Learning for Tabular Data

by Max Kuhn and Kjell Johnson

Books by Andriy Burkov

A concise, technical introduction by Andriy Burkov.

The Hundred Page Machine Learning Book

Machine Learning Engineering Book

Computer Vision: Algorithms and Applications, 2nd Edition

by Richard Szeliski

Concise Machine Learning

by Jonathan Richard Shewchuk [pdf]

Crash Course in Deep Learning (for Computer Graphics)

by Jakub Boksansky [alternative link]

Data Science and Machine Learning: Mathematical and Statistical Methods

by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

by Steven L. Brunton and J. Nathan Kutz [pdf]

Deep Learning

by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Deep Learning

by Subir Varma and Sanjiv Das

Version with Python and R

Deep Learning Course

by François Fleuret

Deep Learning: Foundations and Concepts

by Chris Bishop with Hugh Bishop

Deep Learning: Foundations, Architectures, and Engineering Practice

by Amer Hussein [pdf]

Deep Learning Interviews

by Shlomo Kashani and Amir Ivry

Deep Learning on Graphs

by Yao Ma and Jiliang Tang

Deep Learning with Python, Second Edition

by François Chollet [pdf]

Dive into Deep Learning

Interactive deep learning book with code implementations

Dive into Deep Learning Compiler

Dummy's Guide to Modern LLM Sampling

Foundations of Computer Vision

by Antonio Torralba, Phillip Isola, and William Freeman

Foundations of Machine Learning

by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar [MIT]

GNN From Scratch

by **

Harvard's undergraduate course in Machine Learning

by William J. Deuschle

Introduction to Flow Matching and Diffusion Models

by Peter Holderrieth and Ezra Erives

Introduction to ggml

by Xuan Son NGUYEN, Georgi Gerganov and slaren

Introduction to Machine Learning

by Alex Smola and S.V.N. Vishwanathan [pdf]

Introduction to Machine Learning

by Sanjeev Arora, Simon Park, Dennis Jacob and Danqi Chen [Princeton]

Introduction to Machine Learning

[pdf] [MIT]

Introduction to Machine Learning Interviews

by Chip Huyen

Introduction to Machine Learning Systems

by Vijay Janapa Reddi

Learning Theory from First Principles

by Francis Bach [pdf]

Lecture Notes for Machine Learning and Data Science Courses Information School, University of Washington

by Ott Toomet [pdf]

Lecture Notes for Machine Learning Theory

by Tengyu Ma [pdf]

Machine Learning Engineering Open Book

by Stas Bekman

Machine Learning Lecture Notes

by Andrew Ng and Tengyu Ma [pdf] [Stanford]

Machine learning with neural networks

by Bernard Mehling [pdf]

Neural Networks and Deep Learning

by Michael Nielsen

Natural Language Processing

by Sanjiv Ranjan Das

Notes on AutoGrad

by Anton Schreiner

Patterns, Predictions, and Actions: A story about machine learning

by Moritz Hardt and Benjamin Recht

Physics-based Deep Learning

by N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um

Probabilistic Artificial Intelligence

by Andreas Krause, Jonas Hübotter

Probabilistic Machine Learning: An Introduction

by Kevin Patrick Murphy

Probabilistic Machine Learning: Advanced Topics

by Kevin Patrick Murphy

Speech and Language Processing, 3rd edition

by Daniel Jurafsky and James H. Martin

Statistical Learning Theory

by Percy Liang [pdf]

The Elements of Differentiable Programming

by Mathieu Blondel and Vincent Roulet

The Elements of Statistical Learning

by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

The Engineer's Guide To Deep Learning

by Hironobu Suzuki

The Little Book of Deep Learning

by François Fleuret

The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer

by Tianhua Chen

The Most Important Machine Learning Equations: A Comprehensive Guide

by Chizoba Obasi

The Principles of Deep Learning Theory

by Daniel A. Roberts, Sho Yaida, Boris Hanin

The Principles of Diffusion Models: From Origins to Advances

by Chieh-Hsin Lai, Yang Song, Dongjun Kim, Yuki Mitsufuji, Stefano Ermon

Theory of Deep Learning

by Zhao Song [pdf]

Tutorial on Diffusion Models for Imaging and Vision

by Stanley H. Chan

Understanding Deep Learning

by Simon J.D. Prince

Understanding Machine Learning: From Theory to Algorithms

by Shai Shalev-Shwartz and Shai Ben-David

A Visual Guide to Quantization: Demystifying the Compression of Large Language Models

by Maarten Grootendorst

Defeating Nondeterminism in LLM Inference

by Horace He

Foundations of Large Language Models

by Tong Xiao and Jingbo Zhu

How to Scale Your Model: A Systems View of LLMs on TPUs

by Jacob Austin, Sholto Douglas, Roy Frostig, Anselm Levskaya, Charlie Chen, and Sharad Vikram

How to run LLMs on PC at home using Llama.cpp

by Tobias Mann

Language Models Interview Handbook

by Lamhot Siagian [pdf]

LLM Inference Handbook

Quantization from the ground up

by Sam Rose

The Big Book of Large Language Models

by Damien Benveniste

Google Machine Learning Education

Neural Networks: Zero to Hero

A course by Andrej Karpathy

Practical Deep Learning for Coders

Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.

Linear Algebra for Computer Vision, Robotics, and Machine Learning

by Jean Gallier and Jocelyn Quaintance [pdf]

Mathematical Analysis of Machine Learning Algorithms

by Tong Zhang

Mathematical Foundations of Machine Learning

by Robert Nowak [pdf]

Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

by Arnulf Jentzen, Benno Kuckuck, Philippe von Wurstemberger

Mathematics for Artificial Intelligence Lecure Notes

by Gilles Blanchard [pdf]

Mathematics for Machine Learning

by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

Mathematics for Machine Learning

by Garrett Thomas [pdf]

Mathematics for Inference and Machine Learning

by Marc Deisenroth and Stefanos Zafeiriou [pdf]

Mathematics of Machine Learning

by Philippe Rigollet

Mathematics of Machine Learning

by Rajen D. Shah

Mathematics of Neural Networks

by Bart M.N. Smets

Matrix Calculus (for Machine Learning and Beyond)

by Paige Bright, Alan Edelman, and Steven G. Johnson

MIT course

GitHub repository

Optimization for Data Science

by Bernd Gartner, Niao He and Martin Jaggi [pdf]

Pen and Paper Exercises in Machine Learning

by Michael U. Gutmann

The Matrix Calculus You Need For Deep Learning

by Terence Parr and Jeremy Howard

A Little Bit of Reinforcement Learning from Human Feedback

by Nathan Lambert

Deep Reinforcement Learning

by Aske Plaat

Deep Reinforcement Learning: Zero to Hero!

Distributional Reinforcement Learning

by Marc G. Bellemare, Will Dabney and Mark Rowland

Mathematical Foundations of Reinforcement Learning

by Shiyu Zhao

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

by Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer

Reinforcement Learning: An Introduction, Second Edition

by Richard S. Sutton and Andrew G. Barto

Reinforcement Learning: An Overview

by Kevin Murphy

Artificial Intelligence and Games

by Georgios N. Yannakakis and Julian Togelius

Game AI Pro

by Steve Rabin

Programming Starcraft AI

by Peter Kis

AI-Assisted Coding: A Practical Guide for Software Engineers

by Durgesh Rajubhai Pawar

Basic Claude Code

by Harper Reed

Disciplined AI Software Development

by Jay Baleine

Diving Into Spec-Driven Development With GitHub Spec Kit

by Den Delimarsky

How I program with Agents

by David Crawshaw

How I program with LLMs

by David Crawshaw

How I Use Every Claude Code Feature

by Shrivu Shankar

My LLM codegen workflow atm

by Harper Reed

Spec-driven development with AI: Get started with a new open source toolkit

by Den Delimarsky

The complete guide to Codex

by Flavio Copes

Vibe Coding Terminal Editor

by Alex Kladov

A First Course on Data Structures in Python

by Donald R. Sheehy

Advanced Algorithms

by Anupam Gupta [pdf] [CMU]

Advanced Algorithms

by Mohsen Ghaffari [pdf] [ETH]

Advanced Algorithms

by Prof. Michel Goemans [MIT]

Advanced Algorithm Design

by Sanjeev Arora [Princeton] [Fall 2015]

Advanced Algorithm Design

by Pravesh Kothari and Christopher Musco [Princeton] [Fall 2018]

Advanced Data Structures

by Erik Demaine

Algorithms

by Jeff Erickson

Algorithms

by Sariel Har-Peled [pdf]

Algorithms Course

by Prof. Frank Stajano [Cambridge]

Algorithms, 4th Edition

by Robert Sedgewick and Kevin Wayne

Algorithms and Data Structures

by Kurt Mehlhorn and Peter Sanders [pdf]

Algorithms Books

by Mykel J. Kochenderfer

Algorithms for Optimization

by Mykel J. Kochenderfer, and Tim A. Wheeler

Algorithms for Decision Making

by Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray

Algorithms for Validation

by Mykel J. Kochenderfer, Sydney M. Katz, Anthony L. Corso, and Robert J. Moss

Algorithms Design (in C)

by Paulo Feofiloff

Algorithms for Inference

by Prof. Devavrat Shah

Algorithms for Massive Data

by Nicola Prezza

Algorithms for Modern Hardware

by Sergey Slotin

Algorithms in C

by Robert Sedgewick [pdf]

An Open Guide to Data Structures and Algorithms

by Paul W. Bible and Lucas Moser

Approximation Algorithms

by Chandra Chekuri [pdf]

Book of All-pairs Shortest Paths

by Oleg Karasik

Clever Algorithms: Nature-Inspired Programming Recipes

by Jason Brownlee

Collision Detection

by Jeff Thompson

Data Structure Visualizations

by David Galles

Data Structures & Algorithm Analysis

by Clifford A. Shaffer

Data Structures & Algorithms in C++, Second Edition

by Michael T. Goodrich, Roberto Tamassia, and David M. Mount [pdf]

Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines

by Manos Athanassoulis , Stratos Idreos and Dennis Shasha [pdf]

Design and Analysis of Algorithms

by Nima Anari and Moses Charikar

Essential Coding Theory

by Venkatesan Guruswami, Atri Rudra, and Madhu Sudan

Exact String Matching Algorithms

by Christian Charras and Thierry Lecroq

Foundations of Data Science

by Avrim Blum, John Hopcroft, and Ravindran Kannan [pdf]

Functional Data Structures and Algorithms: A Proof Assistant Approach

by Tobias Nipkow, Jasmin Blanchette, Manuel Eberl, Alejandro Gómez-Londoño, Peter Lammich, Christian Sternagel, Simon Wimmer, Bohua Zhan

Hello Algo

How does B-tree make your queries fast?

by Mateusz Kuźmik

Introduction to Algorithms: A Creative Approach

by Udi Manber [pdf]

Introduction to Multi-Armed Bandits

by Aleksandrs Slivkins

Introduction to Parallel Algorithms

by Guy E. Blelloch, Laxman Dhulipala, and Yihan Sun [pdf]

Kalman Filter from the Ground Up

by Alex Becker

Lecture Notes on Quantum Algorithms

by Andrew M. Childs [pdf]

Let's build a Full-Text Search engine

by Artem Krylysov

Matters Computational: Ideas, Algorithms, Source Code

by Jörg Arndt [pdf]

Monte-Carlo Graph Search from First Principles

by David J Wu

Notes on Algorithms

by James Aspnes

Notes on Data Structures and Programming Techniques

by James Aspnes

Notes on Randomized Algorithms

by James Aspnes [pdf]

Open Data Structures

by Pat Morin

Planning Algorithms

by Steven M. LaValle

Principles of Algorithmic Problem Solving

by Johan Sannemo

Problem Solving with Algorithms and Data Structures using Python

by Brad Miller and David Ranum

Purely Functional Data Structures

by Chris Okasaki [pdf]

Sequential and Parallel Data Structures and Algorithms: The Basic Toolbox

by Peter Sanders, Kurt Mehlhorn, Martin Dietzfelbinger, and Roman Dementiev

The Arcane Algorithm Archive

The Little Book of algorithms

by Duc-Tam Nguyen

The Skyline algorithm for packing 2D rectangles

by Julien Vernay

Think Data Structures

by Allen B. Downey

Tim Roughgarden's Courses and Lecture Notes

Algorithmic Game Theory

10 weeks

Bloom Filters

by Eli Bendersky

Bloom Filters by Example

Let's implement a Bloom Filter

by Onat Yiğit Mercan

A Very Fast 64–Bit Date Algorithm

by Ben Joffe

Part 1

Part 2

Part 3

Part 1: Theory

Part 2: Implementation

Merging with diff3

Why merges fail and what can be done about it

The patience diff algorithm

Implementing patience diff

Diff Algorithms

Myers Diff Algorithm - Code & Interactive Visualization

by Robert Elder

Pixel art articles and tutorials

by Pedro Medeiros

Introduction to Genomics for Engineers

The Algorithmic Beauty of Plants

by Przemyslaw Prusinkiewicz and Aristid Lindenmayer [pdf]

A deep dive into Ghostty

by Flavio Copes

A deep dive into tmux

by Flavio Copes

Command Line Handbook

by Petr Stribny

Driving Compilers

by Fabien Sanglard

Getting started with tmux

by ittavern

How I'm still not using GUIs: A guide to the terminal

by Lucas Fernandes da Costa

How is a binary executable organized? Let's explore it!

by Julia Evans

Learn Makefiles: With the tastiest examples

by Chase Lambert

rsync: Series

by Michael Stapelberg

SSH for developers

by Flavio Copes

Terminal colours are tricky

by Julia Evans

The Definitive Guide To Docker

Use Midnight Commander like a pro

by Igor Klimer

Write a Shell in C

by Stephen Brennan

Writing Programs with NCURSES

by Eric S. Raymond and Zeyd M. Ben-Halim

Writing Your Own Simple Tab-Completions for Bash and Zsh

by Li Haoyi

Curl Cookbook

Curl Exercises

by Julia Evans

Mastering curl: interactive text guide

by Anton Zhiyanov

Effective Shell

by Dave Kerr

GameShell: a "game" to teach the Unix shell

by Pierre Hyvernat

Linux command line for you and me

by Kushal Das

The Linux Command Handbook

by Flavio Copes

The Linux Command Line

by William Shotts

Linux Commands Cheat Sheet

NixOS & Flakes Book

An unofficial book for beginners by Ryan Yin

Wombat’s Book of Nix

by Amy de Buitléir

Erdős

Erdős Problems

International Mathematical Olympiad

Easy Putnam Problems

[pdf]

Mathematical Problem Solving

by Darij Grinberg

My Putnam Problems

by Avinash Sathaye [pdf]

Putnam Training Problems

[pdf]

Virginia Tech Regional Mathematics Contest Problems

[pdf]

Virginia Tech Regional Mathematics Contest Problems Solutions

[pdf]

International Physics Olympiad

Advent of Code

An Advent calendar of small programming puzzles by Eric Wastl

Code Golf

A site for recreational programming competitions.

CodeAbbey

CodeChef

CodeChef competitive programming site

CodeForces

Great site for preparing for programming contests

Coderbyte

Programming challenges and specific routes to help learn specific skills

Codewars

Interesting ranking system with beautiful UI for competitive programming and interview prep.

Codility

Develop your coding skills with lessons to take part in challenges

CodingBat

A free site of live coding problems to build coding skill in Java and Python.

CodinGame

Learn Go by solving interactive tasks using small games as practical examples.

Daily Programmer

Solutions to programming challenges, peer reviewed with community feedback.

Edabit

Exercism

Exercícios em dezenas de linguagens com mentoria e CLI para feedback estruturado.

Hacker Earth

is a commercial platform for sourcing, assessing, interviewing, and upskilling developers.

HackerRank

Preparação para entrevistas técnicas. Focado em desafios de algoritmos, estruturas de dados e diversas linguagens como Java e SQL.

International Collegiate Programming Contest

International Olympiad in Informatics

Kaggle

ML specific.

LabEx

Learn Linux, DevOps & Cybersecurity with Hands-on Labs.

Learn OCaml

. Corpus of beginner-to-advanced online exercises (including those from the OCaml MOOC) with automatic grading tests.

LeetCode

Treinamento intensivo para entrevistas de emprego em big techs. Oferece um vasto banco de problemas, planos de estudo e discussões em fóruns.

NeetCode

Project Euler

Great for practicing writing Python codes

Rosalind

A platform for learning bioinformatics through problem solving.

Skilled.dev

Sphere Online Judge

SQLPad

takeUforward

Top Coder

Algorithms for Competitive Programming

Algorithms and data structures are especially popular in the field of competitive programming.

Competitive Programmer's Handbook

by Antti Laaksonen

Competetive Programming

by Steven Halim [pdf]

Competitive Programming in Python: 128 Algorithms to Develop your Coding Skills

by Christoph Dürr and Jill-Jênn Vie

A Compiler Writing Journey

by Warren

A practical introduction to parsing

by Jan Procházka

Advanced Compilers: The Self-Guided Online Course

by Adrian Sampson

Build Your Own Lisp

by Daniel Holden

Part 1

Part 2

Part 1

Part 2: Building a baseline JIT for Lua automatically

Compiler Design in C

by Allen I. Holub

Compiling to Assembly from Scratch

by Vladimir Keleshev

Crafting Interpreters

by Robert Nystrom

Creating the Bolt Compiler

by Mukul Rathi

Essentials of Compilation: An Incremental Approach

by Geremy G. Siek

Graal Truffle tutorial

by Adam Ruka

How Clang Compiles a Function

by John Regehr

How LLVM Optimizes a Function

by John Regehr

Introduction to Compilers

by Andrew Myers

Introduction to Compilers and Language Design

by Prof. Douglas Thain

Part 1

Part 2: Precedence and associativity in recursive descent

Part 3: Packrat parsing: a top-down performance improvement

Let's Build a Compiler

by Jack Crenshaw

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

Low-Level Software Security for Compiler Developers

by Bill Wendling, Lucian Popescu, and Anders Waldenborg

Make A Language

A series about making a programming language called Eldiro using the Rust programming language.

Strategies for very fast Lexers

Threaded code

Writing a C compiler in 500 lines of Python

by Theia Vogel

Writing a C Compiler, in Zig

by Rahman Sibahi

Principles of Program Analysis

by Flemming Nielson, Hanne Riis Nielson, and Chris Hankin

Secure Programming with Static Analysis

by Brian Chess and Jacob West

Static Program Analysis

by Anders Møller and Michael I. Schwartzbach

3D Gaussian Splatting in a Weekend

by Benjamin Feldman

3D Math Primer for Graphics and Game Development

by Fletcher Dunn and Ian Parberry

A fast and precise triangle rasterizer

by Kristoffer Dyrkorn

A trip through the Graphics Pipeline

by Fabian Giesen

Part 1

Part 2: Performance

Blocky Planet — Making Minecraft Spherical

Part 1: Naive GI: A Foundation

Part 2: Radiance Cascades

Collection of AMD Research Publications

Computer Graphics from Scratch

by Gabriel Gambetta

Crash Course in BRDF Implementation

by Jakub Boksansky

FrostKiwi's Secrets

by Wladislav Artsimovich

AAA - Analytical Anti-Aliasing

How to (and how not to) fix color banding

How video games use LUTs and how you can too

Video Game Blurs (and how the best one works)

Fundamentals of Radiance Cascades

Introduction to Computer Graphics

by David J. Eck

Noise is Beautiful: Part 1: Procedural textures

by Stefan Gustavson [pdf]

Part 1: Procedural textures

[pdf]

Part 2: Noise is beautiful

[pdf]

Radiometry: Overview

by Christoph Peters

Rotations with quaternions

GPU Gems

Three (3) free books by Nvidia about GPU programming and architecture.

GPU Gems 2

Programming techniques for high-performance graphics.

GPU Gems 3

Collection of state-of-the-art GPU programming examples hosted by NVIDIA.

GPU Performance for Game Artists

by Keith O’Conor

GPU Programming Primitives for Computer Graphics

by Daniel Meister, Atsushi Yoshimura, and Chih-Chen Kao

Implementing a tiny CPU rasterizer

by Nikita Lisitsa

Implementing Order-Independent Transparency

by Rubén Osorio López

Learn Computer Graphics From Scratch

. Ray tracing, rasterization, math foundations from first principles.

Let's Make a Voxel Engine

Lode's Computer Graphics Tutorial

by Lode Vandevenne

Marching Cubes, Explained Using Marching Squares

Matrix Compendium

by Łukasz Izdebski - The main purpose of this article is to gather information in the field of transformation in computer graphics and put it in one place.

Ocean Rendering, Part 1 - Simulation

by Robert Ryan

Optimizing Software Occlusion Culling

by Fabian Giesen

Part 1

Part 2

Part 3

Part 1

Part 2

Physically Based Rendering in Filament

by Romain Guy and Mathias Agopian

Physically based rendering from first principles

Physically Based Shading in Theory and Practice

by Laurent Belcour, Naty Hoffman, Alain Hostettler, Peter Kutz, Kentaro Suzuki, Hajime Uchimura, Andrea Weidlich, *Kenichiro Yasutomi *

Part 1

Part 2

Rasterising a triangle

by Jason Tsorlinis

RasterTek toturials

Part 1 - The Plan

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 8 - Mesh shader time

Part 9 - Raytracing

Software rasterizing hair

by Marcin Matuszczyk

Texture-less Text Rendering

by Tim Gfrerer

The Geometry Behind Normal Maps

by Shlomi Nissan

Voxel Engine in a Weekend

WebGL2 Fundamentals

Series of online tutorials with code samples and live demonstrations.

Creative Coding Tutorials and Articles

by Etienne Jacob

Inigo Quilez Website

These are articles about the techniques I develop and lessons I learnt while toying or working with computer graphics.

Paul Bourke's Website

A Primer on Bézier Curves

Cubic spline interpolation

by Eli Bendersky

Curves and Surfaces

by Bartosz Ciechanowski

A Gentle Introduction to D3D12

by Alex Tardif

All Sources of DirectX 12 Documentation

by Adam Sawicki

Part 1: the Theory

Part 2: The Setup

DirectX-Graphics-Samples

is an API(for high performance 2D & 3D graphics) from Microsoft. DirectX 12 Ultimate brings support for ray tracing, mesh shaders, variable rate shading, and sampler feedback. Available in Windows 2004 version(May 2020 Update).

Getting Started With DirectX Raytracing

by Seppe Dekeyser

GPU Work Graphs mesh nodes in Microsoft DirectX® 12

by Max Oberberger

Ten Years of D3D12

by Matt Pettineo

Atkinson Dithering

by John Earnest

Dithering in Colour

by Niklas Oberhuber

Dithering on the GPU

by Alex Charlton

Ditherpunk — The article I wish I had about monochrome image dithering

by Surma

Image Dithering: Eleven Algorithms and Source Code

by Tanner Helland

Writing My Own Dithering Algorithm in Racket

by Amanvir Parhar

Drawing Graphics on Apple Vision with the Metal Rendering API

by Georgi Nikolov

Metal Tutorial

by Will Martin

A Guide to Modern OpenGL Functions

Best Practices for Modern OpenGL

Learn OpenGL

by Joey de Vries

Learning Modern 3D Graphics Programming

by Jason L. McKesson

OGLdev: Modern OpenGL tutorials

by Etay Meiri

OpenGL Tutorial

Collection of OpenGL tutorials with source code examples.

A raycasting engine in 7 easy steps

by Austin Z. Henley

Amanatides and Woo's fast Voxel Traversal

Demystifying multiple importance sampling

by Nikita Lisitsa

How to build a BVH

by Jacco Bikker

Part 1

Part 2

Physically Based Rendering: From Theory To Implementation

by Matt Pharr, Wenzel Jakob, and Greg Humphreys

Ray-Casting Tutorial For Game Development And Other Purposes

by F. Permadi

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

Ray Tracing with Voxels in C++

by Jacco Bikker

Raymarching explained interactively

3D Game Shaders For Beginners

, A step-by-step guide on how to implement SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

Part 1

Part 2

Part 3

Part I: The blob

GM Shaders

All about shaders for GameMaker!

Introducing GPU Reshape - shader instrumentation for everyone

by Miguel Petersen

Introduction to Shaders

by Karl Bittner

Learn Shader Programming with Rick and Morty

by Daniel Hooper

Mesh Shaders on RDNA™ Graphics Cards

by Max Oberberger, Bastian Kuth and Quirin Meyer

No More Shading Languages: Compiling C++ to Vulkan Shaders

by H. Devillers, M. Kurtenacker*, R. Membarth, S. Lemme, M. Kenzel3, Ö. Yazici1, and P. Slusallek [pdf]

On Crafting Painterly Shaders

Post-Processing Shaders as a Creative Medium

Shaders For People Who Don't Know How To Shader

by Manuela Malasaña

Shader Tutorials by Ronja

The Best Darn Grid Shader (Yet)

by Ben Golus

The Book of Shaders

by Patricio Gonzalez Vivo and Jen Lowe

A Vulkan introduction

by Nikos Papadopoulos

I Am Graphics And So Can You

a series of blog posts about implementing a Vulkan renderer for Doom 3 by Dustin H. Land

How I learned Vulkan and wrote a small game engine with it

by Elias Daler

NVIDIA Vulkan Ray Tracing Tutorial

by Martin-Karl Lefrançois, Pascal Gautron, Nia Bickford, David Akeley

Vulkan – Cross platform 3D Graphics

Modern, cross-platform graphics API. [Samples]

Vulkan Guide

. [MIT]

Vulkan Raytracing Tutorials

Vulkan Tutorial

by Alexander Overvoorde

Vulkan Tutorial (Rust)

by Kyle Mayes

Learn WebGPU

by Elie Michel

Learn Wgpu

by Ben Hansen

Migrating from WebGL to WebGPU

by Dmitrii Ivashchenko

WebGPU Fundamentals

A set of articles to help learn WebGPU.

WebGPU Unleashed: A Practical Tutorial

by Shi Yan

Your first WebGPU app

by Brandon Jones and François Beaufort

A comprehensive guide for Linux Network (Socket) programming

An Introduction to Computer Networks

by Peter L. Dordal

Computer Networks: A Systems Approach

by Larry Peterson and Bruce Davie

Computer Networking : Principles, Protocols and Practice, 4th edition

by Olivier Bonaventure

Part 1 - Introduction

Part 2 - Threads

Part 3 - Event-driven

Part 4 - libuv

Part 5 - Redis case study

Part 6 - Callbacks, Promises and async/await

HTTP2 Explained

by Daniel Stenberg

HTTP/3 explained

by Daniel Stenberg

Implementing fast TCP fingerprinting with eBPF

by Alberto Ventafridda

Implementing TCP In Rust

by Ghvst Code

Part 1: Ethernet & ARP

Part 2: IPv4 & ICMPv4

Part 3: TCP Basics & Handshake

Part 4: TCP Data Flow & Socket API

Part 5: TCP Retransmission

Mediocre Engineer’s guide to HTTPS

by Devon Peroutky

Part 1: The protocol

Part 2: Networking

Part 3: Server

Part 4: Data structures

Part 5: Topic abstraction

Part 6: Handlers

Part 7: Refactoring & eventloop

Networking 101

by Internal Pointers

Serving files over HTTP three ways: synchronous, epoll, and io_uring

by Phil Eaton

Topics in High-Performance Messaging

by Robert A. Van Valzah, Todd L. Montgomery, and Eric Bowden

Visual guide to SSH tunneling and port forwarding

A Graduate Course in Applied Cryptography

by Dan Boneh and Victor Shoup

Advanced Topics in Cryptography: From Lattices to Program Obfuscation

by Vinod Vaikuntanathan

All I Know About Certificates

by Ke Pi

An Intensive Introduction to Cryptography

by Boaz Barak

Coding Theory & Cryptography

by John C. Bowman [pdf]

Cryptography: An Introduction (3rd Edition)

by Nigel Smart [pdf]

Practical Cryptography for Developers

by Svetlin Nakov

The Beginner's Textbook for Fully Homomorphic Encryption

by Ronny Ko

Advanced Data Science: Statistics and Prediction Algorithms Through Case Studies

by Rafael A. Irizarry

Data Science at the Command Line

by Jeroen Janssens

Data Science: Theories, Models, Algorithms, and Analytics

by Sanjiv Ranjan Das

pdf

Data for the book's examples

Version with Python and R

Fundamentals of Data Visualization

by Claus O. Wilke

Hands-On Data Visualization

by Jack Dougherty and Ilya Ilyankou

Introduction to Data Science: Data Wrangling and Visualization with R

by Rafael A. Irizarry

Mathematical Methods in Data Science (with Python)

by Sebastien Roch

Mining of Massive Datasets

by Jure Leskovec, Anand Rajaraman, and Jeff Ullman

Mining Social Media

by Lam Thuy Vo

Topics in Mathematics of Data Science

by Dr. Afonso Bandeira

Towards Data Science

The world’s leading publication for data science, AI, and ML professionals.

A Field Guide to Bugs

by Stephen Diehl

Debugging with GDB

How Does a C Debugger Work?

by Kevin Pouget

Writing a Linux Debugger

by Sy Brand

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

Database Design for Google Calendar: a tutorial

by Alexey Makhotkin

Database Fundamentals

by Tony Solomonik

The Theory of Relational Databases

by David Maier

B-trees and database indexes

by Benjamin Dicken

Build Your Own Database From Scratch in Go

by James Smith

Part 1: Listing tables

Part 2: Scanning large tables

Part 3: SQL parsing 101

Part 4: reading tables metadata

Part 5: Evaluating queries

Build Your Own Redis with C/C++

by James Smith

Concurrency Control and Recovery in Database Systems

by Philip A. Bernstein, Vassos Hadzilacos, Nathan Goodman

How Does a Database Work?

by Connor Stack

Jacob's blog: On database building blocks

by Sherin Jacob

A B+Tree Node Underflows: Merge or Borrow?

Cache-Friendly B+Tree Nodes With Dynamic Fanout

MongoDB Tutorial

Mode's SQL Tutorial

SQL Tutorial

Master SQL quickly and effectively with clear concepts, hands-on examples, and interactive quizzes.

SQL for the Weary

by Greg Wilson

SQLBolt

Learn SQL with simple, interactive exercises.

SQLZap

Learn SQL with for Free.

SQLZoo

SQL Tutorial.

MySQL for Developers

by Aaron Francis

MySQL Tutorial

PostgreSQL 14 Internals

by Egor Rogov

PostgreSQL Tutorial

The Internals of PostgreSQL

by Hironobu Suzuki

Oracle Tutorial

Graphics Tricks from Boomers

Technical details about a 4096 bytes Atari-STE intro, by Arnaud Carré.

How a 64k intro is made

by Pekka Väänänen

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

Building abstractions using higher-order functions

by Eli Benderski

Data Engineering Design Patterns (DEDP)

Data-Oriented Design

by Richard Fabian

Design Patterns & Refactoring

SourceMaking

Decorators and Functional programming

Design Patterns You Should Unlearn in Python: Part1

Design Patterns You Should Unlearn in Python: Part2

Most Design Patterns Are Just Dependency Injection in Disguise

Part 1

Part 2

Part 3

The expression problem and Rust

by Alisa Sireneva

From design patterns to category theory

by Mark Seemann

Game Programming Patterns

by Robert Nystrom

Handles are the better pointers

by Andre Weissflog

Indices, not Pointers

by Joe Mckay

Multiple Dispatch Series

by Eli Bendersky

Plugins Series

by Eli Bendersky

The Architecture of Open Source Applications

DevOps with Docker: Containers for Beginners

DevOps with Kubernetes: A not-so-gentle introduction to cloud-native container orchestration

devopscube

Digital Signals Theory

by Brian McFee

Online Textbooks and Course Materials by Julius Orion Smith III

AI Audio Signal Processing Reading List

Audio Signal Processing in FAUST

Intoroduction to Digital Filters

by Julious O. Smith III*

Mathematics Of The Discrete Fourier Transform (Dft), Second Edition

Julius O. Smith III (Stanford University).

Physical Audio Signal Processing

Spectral Audio Signal Processing

PySDR: A Guide to SDR and DSP using Python

by Dr. Marc Lichtman

Software-Defined Radio for Engineers

by Travis F. Collins, Robin Getz, Di Pu, and Alexander M. Wyglinski [pdf]

The Scientist and Engineer's Guide to Digital Signal Processing

by Steven W. Smith, Ph.D.

Distributed Systems

by Dr. Martin Kleppmann [pdf]

Distributed systems for fun and profit

by Mikito Takada

Implementing Raft

by Eli Bendersky

Implementing the Raft distributed consensus protocol in Go

by Phil Eaton

Linearizability in distributed systems

by Eli Bendersky

Notes on Theory of Distributed Systems

by James Aspnes [pdf]

Patterns of Distributed Systems

by Unmesh Joshi

Principles of Blockchains

by Prof. Pramod Viswanath [Princeton]

Rewriting Kafka in Rust Async: Insights and Lessons Learned in Rust

by Rex Wang

Testing Distributed Systems

Curated list of resources on testing distributed systems by Andrey Satarin.

ANALOG SEEKrets: DC to daylight … a master class in electronics design

by Leslie Green [pdf]

Lessons in Electric Circuits

Ultimate Electronics

Free online book with interactive schematics & simulations by CircuitLab (under development).

5 Days To Virtualization: A Series On Hypervisor Development

by Daax Rynd, Aidan Khoury and Nick Peterson

JavaScript Chip-8 Emulator

Part 1

Part 2

GameBoy Emulation in JavaScript

by Imran Nazar

Hypervisor in 1,000 Lines

by Seiya Nuta

Part 1

Part 2

Part 3

The Art of CHIP-8

by John Earnest

Write your Own Virtual Machine

by Justin Meiners and Ryan Pendleton

Writing NES emulator in Rust

by Rafael Bagmanov

2D Game Development: From Zero To Hero

by Daniele Penazzo

3D Game Engine Programming

by Jeremiah van Oosten

CSCI 181G PO: Game Engine Programming Course

Game Frame Breakdown Articles

collection by Nikolaos Papadopoulos

Game Engineering

by David Galles

How to program a text adventure in C

by Ruud Helderman

Isometric Projection in Game Development

by Gustavo Pezzi

Isometric Tutorials

by Clint Bellanger

Procedural Content Generation in Games

by Noor Shaker, Julian Togelius, and Mark J. Nelson

Part 1

Part 2

Part 3

Part 4

Part 5

Part 6

Programming Vehicles in Games

by Wassim Alhajomar

Retro Rampage

A tutorial series in which you will learn how to build a Wolfenstein-like game from scratch, in Swift by Nick Lockwood

Roguelike Tutorial - In Rust

by Herbert Wolverson

Terrain programmig

by Shamus Young

The guide to implementing 2D platformers

by Rodrigo Monteiro

Scroll Back: The Theory and Practice of C`ameras in Side-Scrollers

by Itay Keren

A First-Person Game in 2KB

by Grant Handy

Bevy game development

by Nolan Tait

C# and Shader Tutorials for the Unity Engine

by Jasper Flick

Godot Engine 4 Tutorials

by Jasper Flick

Unofficial Bevy Cheat Book

2D Cloth Simulation in Odin with raylib

by Marian Pekár

Gentle Introduction to Realtime Fluid Simulation for Programmers and Technical Artists

by Shahriar Shahrabi

iforce2d

A collection of programming resources, mainly focusing on 2D games development with Box2D.

Simulating Fluids, Fire, and Smoke in Real-Time

by Andrew Chan

Ten Minute Physics

by Matthias Müller

freeCodeCamp

. Weekly selection of five articles, videos or entire courses from FreeCodeCamp learning platform.

Geeks for Geeks

Tutorials, articles, courses, coding competitions, jobs and more.

Programiz

Tutorials Point

W3 Schools

HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML 등을 사용하는 방법에 대한 많은 예와 함께 잘 구성되어 있고 이해하기 쉬움

Austin Z. Henley's Lists

Challenging algorithms and data structures every programmer should try

Challenging projects every programmer should try

More challenging projects every programmer should try

Writing Toy Software Is A Joy: Why you should write more toy programs

by Joshua Barretto

Building Vector Tiles from scratch

by Andre Debuisne

Computational Modelling of Terrains

by Hugo Ledoux, Ken Arroyo Ohori, Ravi Peters, and Maarten Pronk

Introduction to Python for Geographic Data Analysis

by Henrikki Tenkanen, Vuokko Heikinheimo, and David Whipp

A Book about Qt5

by Jürgen Bocklage-Ryannel and Johan Thelin

Cross-platform window in C

James Brown's Tutorials

Minimal Cross-Platform Graphics

by Serge Zaitsev

Sol on Immediate Mode GUIs

by Jari Komppa

theForger's Win32 API Programming Tutorial

X Window System Basics

by Jasper St. Pierre

Architecture of Consoles

by Rodrigo Copetti

Computer Architecture, Fifth Edition: A Quantitative Approach

by John L. Hennessy and David A Patterson

How Microchips Work

Modern Microprocessors: A 90-Minute Guide!

by Jason Robert Carey Patterson

Processor Design: An Introduction

Simple CPU design

What Every Programmer Should Know About Memory

by Ulrich Drepper [pdf]

Zen, CUDA, and Tensor Cores

by Casey Muratori

Information and Entropy

by Prof. Paul Penfield and Prof. Seth Lloyd

Information Theory, Inference, and Learning Algorithms

by David MacKay

Statistics and Information Theory

by John Duchi [pdf]

Cognitive Ability Test by University of Cambridge

IQ Test made by Mensa Norway

Hex: A Strategy Guide

by Matthew Seymour

Learn to Play Go

The World's Fastest Scrabble Program

by Andrew W. Appel and Guy J. Jacobson [pdf]

A gentle introduction to two's complement

by Michael Doornbos

Beginner's Guide to Linkers

by David Drysdale

Computer Science from the Bottom Up

by Ian Wienand

CPU performance optimization guide - Preface

by Hui Zhang

Part 1

Floating Point Visually Explained

by Fabien Sanglard

Group Borrowing: Zero-Cost Memory Safety with Fewer Restrictions

by Evan Ovadia

How To Write Shared Libraries

by Ulrich Drepper [pdf]

It's OK to compare floating-points for equality

by Nikita Lisitsa

Memory Management Reference

Memory Profiling

by Denis Bakhvalov

Onboarding floating-point

by Mike Acton

Performance Analysis and Tunning on Modern CPUs

by Denis Bakhvalov

Pointer Tagging in C++: The Art of Packing Bits Into a Pointer

by Caden Parker

Stack frame layout on x86-64

by Eli Bendersky

Static Machine Code Analysis

by Frank Tetzel

Part 1: C

Part 2: C++ and RAII

Part 3: C++ Smart Pointers

Part 4: Rust Ownership and Borrowing

Part 5: Fighting with Rust

Part 6: Basic Garbage Collection

Part 7: Advanced Garbage Collection

What Every Computer Scientist Should Know About Floating-Point Arithmetic

[pdf]

Matrix Multiplication Optimization Article Series

by Amanzhol Salykov

Advanced Matrix Multiplication Optimization on Modern Multi-Core Processors

Advanced Matrix Multiplication Optimization on NVIDIA GPUs

Matrix Core Programming on AMD CDNA3 and CDNA4 architecture

Virtual Memory: A Deep Dive into Page Tables, TLBs, and Linux Internals

by Abhinav Upadhyay

Basic facts about GPUs

by Damek Davis

Inside NVIDIA GPUs: Anatomy of high performance matmul kernels

by Aleksa Gordić

Introduction to CUDA Programming With GPU Puzzles

by Henry Ko

TPU Deep Dive

by Henry Ko

Accelerating copy_if using SIMD

by Chaitanya Kumar

ARM NEON for C++ Developers

[pdf]

Cuckoo hashing improves SIMD hash tables

by Reiner Pope

Designing a SIMD Algorithm from Scratch

by Miguel Young de la Sota

SIMD: A Practical Guide

by Caden Parker

SIMD for C++ Developers

[pdf]

Wojciech Muła — website

A Gentle Introduction to Tensors

by Boaz Porat [pdf]

A Gentle Introduction to the Art of Mathematics

by Joe Fields

A Programmer's Introduction to Mathematics

by Jeremy Kun

Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning

by Jean Gallier and * Jocelyn Quaintance* [pdf]

An animated introduction to Fourier Series

by Andrei Ciobanu

An Infinite Descent into Pure Mathematics

by Clive Newstead

An Infinitely Large Napkin

by Evan Chen [pdf]

An Introduction to Tensors for Students of Physics and Engineering

by Joseph C. Kolecki [pdf]

Approved Textbooks

of the American Institute of Mathematics

Books and papers by Professor Dimitry P. Bertsekas

Books by Dr. Kenneth Kuttler

Books of Shlomo Sternberg

Advanced Calcululs

[pdf]

Dynamical Systems

[pdf]

Lie algebras

[pdf]

Semi-classical analysis

by Victor Guillemin and Shlomo Sternberg [pdf]

Semi-Riemann Geometry and General Relativity

[pdf]

Theory of functions of a real variable

[pdf]

Courses and lecture notes by Jeffrey Robert Chasnov

Applied Linear Algebra and Differential Equations

[pdf]

Calculus for Engineers

[pdf]

Differential Equations for Engineers

[pdf]

Differential Equations: Review with YouTube Examples

[pdf]

Differential Equations

[pdf]

Fibonacci Numbers and the Golden Ratio

[pdf]

Flow Around a Cylinder

[pdf]

Mathematical Biology

[pdf]

Matrix Algebra for Engineers

[pdf]

Numerical Methods for Engineers

[pdf]

Numerical Methods

[pdf]

Scientific Computing

[pdf]

Vector Calculus for Engineers

[pdf]

Cournse Notes and Books by Curtis T. McMullen

[Harvard]; Books; Course Notes

Complex Dynamics and Renormalization

[pdf]

Renormalization and 3-Manifolds which Fiber over the Circle

[pdf]

Advanced Complex Analysis

[pdf]

Advanced Real Analysis

[pdf]

Algebra and Dynamics

[pdf]

Complex Analysis on Riemann Surfaces

[pdf]

Ergodic theory, geometry and dynamics

[pdf]

From Conformal Invariants to Percolation

[pdf]

Probability Theory

[pdf]

Real Analysis

[pdf]

Riemann surfaces, dynamics and geometry

[pdf]

Sets, Groups and Knots

[pdf]

Topology

[pdf]

Course notes by J.S. Milne

Abelian Varieties

[pdf]

Algebraic Geometry

[pdf]

Algebraic Number Theory

[pdf]

Class Field Theory

[pdf]

Complex Multiplication

[pdf]

Fields and Galois Theory

[pdf]

Group Theory

[pdf]

Lectures on Etale Cohomology

[pdf]

Lie Algebras, Algebraic Groups, and Lie Groups

[pdf]

Modular Functions and Modular Forms

[pdf]

Reductive Groups

[pdf]

Course notes by Kenneth R. Davidson

Measure Theory

[pdf]

Nest Algebras

Real Analysis

[pdf]

Rigorous Calculus

[pdf]

Course notes by Rajen Shah

[Cambridge]

Mathematics of Machine Learning

Modern Statistical Methods

Principles of Statistics

Statistical Modelling

Course Notes by Richard Weber

Markov Chains

Mathematics of Operational Research

Optimization

Optimization and Control

Probability

Statistics

Time Series

Course notes by Tom Leinster

Category theory

Fourier analysis

[pdf]

Galois theory

General topology

[pdf]

Linear algebra

by [pdf]

Everything You Always Wanted To Know About Mathematics

by Brendan W. Sullivan with Professor John Mackey [pdf]

Feynman's Trick a.k.a. Differentiation under the Integral Sign & Leibniz Integral Rule

Foundations of Mathematics

by Florent P. Baudier [pdf]

How do undergraduates do mathematics?

[pdf]

Intermediate Calculus and Linear Algebra

by Jerry L. Kazdan [pdf]

Introduction to Applied Mathematics

by Jan Glaubitz [pdf]

Introduction to Homotopy Type Theory

by Egbert Rijke

Introduction to the Modeling and Analysis of Complex Systems

by Hiroki Sayama

Introduction to Stochastic Calculus

by Ji-Ha

Lecuture Notes by Aditya Guntuboyina

Analysis of Time Series

[pdf]

Introduction to Probability at an advanced level

[pdf]

Theoretical Statistics

[pdf]

Lecture Notes by Ian Tice

A crash course in complex analysis

[pdf]

A crash course in interpolation theory

[pdf]

Derivation of the fluid equations

[pdf]

Fluid-solid interaction

[pdf]

From Stokes flow to Darcy's law

[pdf]

Gamma-convergence of the Ginzburg-Landau energy

[pdf]

Linear constant coefficient ordinary differential systems

[pdf]

Monstrous Functions

[pdf]

Quasilinear symmetric hyperbolic systems

[pdf]

Calculus 1

[pdf]

Complex Analysis with Applications

[pdf]

Functional Analysis

[pdf]

Measure Theory

[pdf]

Topics in Mathematical Physics

[pdf]

Homeworks and other courses materials

Lecture Notes by John K. Hunter

Applied Analysis

Applied Mathematics

Asymptotics

Introduction to Analysis

Measure Theory

Partial Differential Equations

Lecture Notes by Omer Tamuz

General Equilibrium Theory

[pdf]

Graduate Real Analysis

[pdf]

Multivariate Calculus

Probability: Random Walks

Probability

The Value and Cost of Information

[pdf]

Undergraduate Game Theory

Lecture Notes by Seongjai Kim

Calculus Lectures

[pdf]

Fundamentals of Numerical Linear Algebra

[pdf]

Heterogeneity in Computational Environments

[pdf]

Linear Algebra with Applications

[pdf]

Mathematical Foundations of Machine Learning

[pdf]

Numerical Analysis and Applications with Music

[pdf]

Numerical Methods for Partial Differential Equations

[pdf]

Programming Basics and AI with Matlab and Python

[pdf]

Math Alive

by Ingrid Daubechies and Shannon Hughes - lecture notes on:; Cryptography; Error correction & compression; Probability & Statistics; Birth, Growth, Death & Chaos; Graph Theory; Voting & Social Choice

Math Planet

Mathematics Its Contents Methods And Meaning, Volumes 1 - 3

by A. D. Aleksandrov, A. N. Kolmogorov, M. A. Lavrent'ev

Mathematical Methods for Computer Vision, Robotics, and Graphics

by Justin Solomon [pdf]

Mathematical Methods for Physics

by Dmitry Turaev [pdf]

Problem sheets and solutions

Mathematics for the Physical Sciences

by Herbert S. Wilf

Menthal Math Tricks

by John D. Cook

Notes on Mathematics For Engineers

[pdf]

Open Mathematics Depository

Open textbooks for undergraduate mathematics

Paul's Online Math Notes

by Paul Dawkins

Algebra

Calculus I

Calculus II

Calculus III

Differential Equations

Peter Cameron's Lecture Notes

Notes on Advanced Combinatorics

Mathematical Structures

[pdf]

Introduction to Algebra

[pdf]

Linear Algebra

[pdf]

Algebraic Structures

*[pdf] Number theory [pdf]

Combinatorics

[pdf]

Probability

[pdf]

Cryptography

[pdf]

Complexity

[pdf]

A Crash Course on Group Theory

[pdf]

The art of counting

[pdf]

Structure, symmetry and polynomials

[pdf]

Finite geometry and strongly regular graphs

[pdf]

Precalculus

by Carl Stitz and Jeff Zeager

Real Not Complex

Discover Incredible FREE Resources to Study MathemF comilatics.

Street-Fighting Mathematics

Course teaches the art of guessing results and solving problems without doing a proof or an exact calculation by Sanjoy Mahajan

Teaching notes by Oliver Knill

Differential Geometry

[pdf]

Introduction to Calculus

[pdf]

Linear Algebra And Vector Calculus

[pdf]

Linear Algebra And Vector Calculus I

[pdf]

Linear Algebra And Vector Calculus II

[pdf]

Multivariable Calculus

[pdf]

Probability Theory

[pdf]

Teaching Mathematics with a Historical Perspective

[pdf]

Texts, exercises, problems and lecture notes by John Erdman

Exercises and Problems in Calculus

A ProblemText in Advanced Calculus

[pdf]

Exercises and Problems in Linear Algebra

Companion to Real Analysis

Functional Analysis and Operator Algebras: An Introduction

[pdf]

The Lost Art of Logarithms

by Charles Petzold

The Mathematics in Toys and Games

by Jing Li, Prof. Erik Demaine, and Melissa Gymrek

The Matrix Cookbook

by Kaare Brandt Petersen and Michael Syskind Pedersen

The Princeton Companion to Mathematics

by Timothy Gowers - editor [pdf]

The Tensor Cookbook

by Thomas Dybdahl Ahle

Trigonometry

by Michael Corral

Umnov A.E. and Umnov E.A's Educational Materials

[MIPT]; Subjects Included:; Elementary Mathematics; Intoduction to Calculus; Multy-dimentional Analysis. Integrals and Series; Analytic Geometry; Linear Algebra; Multiple integrals and field theory; Harmonic Analysis; Parametric Sets of Second-Order Lines on a Plane

University Mathematics

by Ole Witt-Hansen

Abstract Algebra

taughy by Yum-Tong Siu, notes by Dongryul Kim [pdf]

Abstract Algebra: Theory and Applications

by Thomas W. Judson

Advanced Modern Algebra

by Joseph J. Rotman [pdf]

Algebra: Abstract and Concrete

by Frederick M. Goodman

Algebra: An Elementary Text-Book

by George Chrystal

Beginning and Intermediate Algebra

by Tyler Wallace

Elements of Abstract and Linear Algebra

by Edwin H. Connell

Intermediate Algebra

by Saylor Academy

Introduction to Abstract Algebra

by Alexander Paulin [pdf]

Introduction to Modern Algebra

by David Joyce [pdf]

Learn you Galois Fields for Great Good

by Anthony Bonkoski

Lectures on Abstract Algebra

by Richard Elman [pdf]

The Rising Sea: Foundations Of Algebraic Geometry Notes

by Ravi Vakil

Graphical Linear Algebra

by Pawel Sobocinski

Immersive Linear Algebra

by J. Ström, K. Åström, and T. Akenine-Möller

Interactive Linear Algebra

by Dan Margalit and Joseph Rabinoff

Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

by Stephen Boyd and Lieven Vandenberghe

Linear Algebra

by David Cherney, Tom Denton, Rohit Thomas and Andrew Waldron [pdf]

Linear Algebra, Fourth edition

by Jim Hefferon [pdf]

Linear Algebra Done Right

by Sheldon Axler

Linear Algebra Done Wrong

by Sergei Treil

Linear Algebra for Computer Science

by Manoj Thulasidas

Linear Algebra Lecture Notes by Terence Tao

[pdf] [UCLA]

Notes for Computational Linear Algebra

by Jessy Grizzle [pdf]

Numerical Linear Algebra

by Bärbel Janssen [pdf]

The Little Book of Linear Algebra

by Duc-Tam Nguyen

Classical Real Analysis Books

by Andrew M. Bruckner, Judith B. Bruckner, and Brian S. Thomson

Elementary Real Analysis, Second Edition

Real Analysis

Mathematical Discovery

The Calculus Integral

Theory of the Integral

Complex Analysis

by Russell W. Howell and John H. Mathews

Complex Analysis

by Dmitry Belyaev [pdf]

Problems and Solutions

Harmonic Function Theory

by Sheldon Axler, Paul Bourdon, and Wade Ramey

How We Got from There to Here: A Story of Real Analysis

by Eugene Boman and Robert Rogers

Introduction to Real Analysis

by William F. Trench

Principles of Mathematical Analysis

by Walter Rudin [pdf]

Real Analysis

by Dr. Casey Rodriguez

Real Analysis

by Gary Towsley

Visual Complex Analysis

by Tristan Needham [pdf]

Advanced Multivariable Calculus

by Alex Wang [pdf]

Basic Analysis: Introduction to Real Analysis

by Jiří Lebl

Calculus

by Gilbert Strang

Calculus 1 for Honours Mathematics

by Barbara A. Forrest and Brian E. Forrest [pdf]

Calculus Books by Tyler Wallace

Calculus 1

Calculus 2

Calculus 3

Calculus in Context

by James Callahan, Kenneth Hoffman, David Cox, Donal O’Shea, Harriet Pollatsek, and Lester Senechal [pdf]

Calculus: Basic Concepts for High Schools

by L.V. Tarasov

Calculus for Mathematicians, Computer Scientists, and Physicists

by Andrew D. Hwang [pdf]

Calculus Made Easy

by Silvanus P. Thompson

Calculus with Julia

by John Verzani

CLP Calculus Textbooks

by Joel Feldman, Andrew Rechnitzer and Elyse Yeager

Derivatives, Gradients, Jacobians and Hessians

by Alan Wolfe

Differential Calculus: From Practice to Theory

by Eugene Boman and Robert Rogers

Elementary Calculus

by Michael Corral

Integration Theory

by Johan Jonasson [pdf]

Introduction to Calculus

by Paul Lutus [pdf]

Multivariable Calculus Lectures

by Richard J. Brown [pdf]

Pre-Calculus

by Salah Abed, Sonia Farag, Stephen Lane, Tyler Wallace, and Barbara Whitney

Precalculus: An Investigation of Functions

by David Lippman and Melonie Rasmussen

Lectures on Vector Calculus

by David Tong

Vector and Complex Calculus for the Physical Sciences

by Fabian Waleffe [pdf]

Vector Calculus

by Andrea Moiola [pdf]

Vector Calculus

by B. C. Allanacha and J.M. Evansa [pdf]

Vector Calculus

by Michael Corral

Category Theory for Programmers

by Bartosz Milewski

Category Theory for Programming

by Benedikt Ahrens and Kobe Wullaert

Category Theory Illustrated

by Boris Marinov

Category Theory in Programming

by Noah Ma

Category Theory: Lecture Notes and Online Books

collection by Peter Smith

Notes on Category Theory with examples from basic mathematics

by Paolo Perrone

Pragmatic Category Theory

by Dmitrii Kovanikov

Seven Sketches in Compositionality: An Invitation to Applied Category Theory

by Brendan Fong and David I. Spivak

Elementary Differential Equations with Boundary Value Problems

by William F. Trench

Fourier Series & PDEs

by Philip Maini [Oxford]

Notes on Diffy Qs: Differential Equations for Engineers

by Jiří Lebl

Game Theory (Open Access textbook with 165 solved exercises)

by Giacomo Bonanno

Game Theory with Engineering Applications

by Prof. Asuman Ozdaglar

Introduction to Game Theory: a Discovery Approach

by Jennifer Firkins Nordstrom

Lecture Notes for 1st Year Ph.D. Game Theory

by Navin Kartik [pdf]

How to Solve It

by George Pólya [pdf]

Euclid's Elements

Euclidean and Non-Euclidean Geometries: Development and History

by Marvin Jay Greenberg [pdf]

Geometry with an Introduction to Cosmic Topology

by Michael P. Hitchman

Geometry: Euclid and Beyond

by Robin Hartshorne [pdf]

Planes in 3D space

by Alex Harri

The Foundations of Geometry

by David Hilbert [pdf]

The Four Pillars of Geometry

by John Stillwell [pdf]

Differential Geometry: A First Course in Curves and Surfaces

by Theodore Shifrin [pdf]

Functional Differential Geometry

by Gerald Jay Sussman and Jack Wisdom with Will Farr [pdf]

Introduction to Smooth Manifolds

by John M. Lee [pdf]

Lecture Notes on Differential Geometry

by Mohammad Ghomi

Manifolds and Differential Forms

by Reyer Sjamaar [pdf]

Open Problems In Geometry Of Curves And Surfaces

by Mohammad Ghomi [pdf]

What is differential geometry: curves and surfaces

by Anton Petrunin and Sergio Zamora Barrera

Algebraic Combinatorics

by Alexander Postnikov

Analytic Combinatorics

by Philippe Flajolet and Robert Sedgewick [pdf]

Combinatorics Through Guided Discovery

by Kenneth P. Bogart

Enumerative Combinatorics, Volume 1, Second Edition

by Richard P. Stanley [pdf]

An introduction to graph theory

by Darij Grinberg [pdf]

Graphs and Geometry

by László Lovász [pdf]

Graph Theory, Sixth Edition, 2025

by Reinhard Diestel

Graph Theory and Additive Combinatorics

by Yufei Zhao

Graph Theory Lecture Notes

by Christopher Griffin [pdf]

Introduction to Random Graphs

by *Alan Frieze" and **ALAN FRIEZE and Michał Karonski [pdf]

Large networks and graph limits

by László Lovász [pdf]

Spectral Graph Theory

by David P. Williamson

Mathematical Problems And Puzzles from the Polish Mathematical Olympiads

by Stefan Straszewicz

Solving Problems In Algebra And Trigonometry

by V. Litvinenko and A. Mordkovich

Solving Problems In Geometry

by V. Gusev, V. Litvinenko, and A. Mordkovich

The USSR Olympiad Problem Book

by D. O. Shklarsky, N. N. Chentzov, and I. M. Yaglom

A Practical Guide to Quantitative Finance Interviews

by Xinfeng Zhou [pdf]

Financial Machine Learning

by Bryan T. Kelly and Dacheng Xiu

Mathematical Foundations for Finance

by Prof. Dr. Beatrice Acciaio

Probability Theory

by Prof. Dr. Alain-Sol Sznitman [pdf]

Mathematical Foundations for Finance Lecture Notes

by M. Schweizer and E. W. Farkas [pdf]

Statistical Method in Economics

by Prof. Anna Mikusheva

Topics in Mathematics with Applications in Finance

by Dr. Peter Kempthorne, Dr. Choongbum Lee, Dr. Vasily Strela, and Dr. Jake Xia

Trade Signal

by Lucas Downey

A Concise Introduction to Logic

by Craig DeLancey

A Friendly Introduction to Mathematical Logic

by hristopher Leary and Lars Kristiansen

forall x: Calgary: An Introduction to Formal Logic

by P. D. Magnus, Tim Button, Robert Trueman, and Richard Zach

PQT Logic Textbook

by Scott Weinstein, Owain West and Grace Zhang [pdf]

Lecture Notes on The Lambda Calculus

by Frank Pfenning [pdf]

Part 1

[pdf]

Part 2

[pdf]

An Introduction to Measure Theory

by Terence Tao [pdf]

Measure, Integration & Real Analysis

by Sheldon Axler

Measure Theory

[pdf]

A Computational Introduction to Number Theory and Algebra

by Victor Shoup

An Introduction to the Theory of Numbers

by Leo Moser

Elementary Number Theory: Primes, Congruences, and Secrets

by William Stein

Lectures notes on number theory for computer science

by Alexandros V. Gerbessiotis

Theory of Numbers

by Prof. Abhinav Kumar

Tea Time Numerical Analysis

by Leon Q. Brin

Applied Mathematical Programming

by Stephen P. Bradley, Arnoldo C. Hax, and Thomas L. Magnanti

Arkadi Nemirovski Books and Lecture Notes on Optimization

Bridging Continuous and Discrete Optimization

by David P. Williamson

Convex Optimization

by Andreas Habring

Introduction to Operations Research, Tenth Edition

by Frederick S. Hillier, and Gerald J. Lieberman [pdf]

Linear Programming Lecture Notes by Hal Gabow

[dpf]

MOSEK Modeling Cookbook

Advanced Data Analysis from an Elementary Point of View

by Cosma Rohilla Shalizi

Advanced Probability

by Alexander Sokol and Anders Rønn-Nielsen [pdf]

All of Statistics: A concise Course in Statistical Inference

by Larry Wasserman [pdf]

An Elementary Introduction To The Theory Of Probability

by B. V. Gnedenko, A. Ya. Khinchin

AnyDice

Applied Problems In Probability Theory

by E. Wentzel and L. Ovcharov

Bayes Rules! An Introduction to Applied Bayesian Modeling

by Alicia A. Johnson, Miles Q. Ott, Mine Dogucu

Bayesian Data Analysis, Third Edition

by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin

Digital textbook on probability and statistics

by Marco Taboga

Elementary Probability for Applications

by Rick Durrett [pdf]

Fundamentals of Probability

by Prof. Yury Polyanskiy

High-Dimensional Probability: An Introduction with Applications in Data Science

by Roman Vershynin [pdf]

High-Dimensional Statistics

by Philippe Rigollet and Jan-Christian Hütter

Introduction to Modern Statistics (2nd Ed)

by Mine Çetinkaya-Rundel and Johanna Hardin

Introduction to Probability

by Charles M. Grinstead and J. Laurie Snell

Introduction to probability and statistics

by Mike Hitchman

Introduction to Probability for Data Science

by Stanley H. Chan

Introduction to Statistics

by David Lane

Lecture Notes on Probability

by Omer Tamuz [pdf]

Lecture Notes on Probability Statistics and Linear Algebra

by C. H. Taubes [pdf]

Linear Model and Extensions

by Peng Ding

Markov Chains for programmers

by Ricardo M. Czekster

Modern Discrete Probability: An Essential Toolkit

by Sebastien Roch

Notes on Counting and Rapidly Mixing Markov Chains

by Alan Frieze [pdf]

Notes on Probability

by Peter J. Cameron [pdf]

Odds & Ends: Introducing Probability & Decision with a Visual Emphasis

by Jonathan Weisberg

One Thousand Exercises in Probability

by Geoffrey R. Grimmett and David R. Stirzaker [pdf]

OpenIntro Statistics, Fourth Edition

by David Diez, Mine C¸ etinkaya-Rundel, and Christopher D Barr

Probability 101, the intuition behind martingales and solving problems with them

Probability and Statistics: The Science of Uncertainty, Second Edition

by Michael J. Evans and Jeffrey S. Rosenthal

Probability and Statistics Cookbook

by Matthias Vallentin

Probability and Statistics for Data Science

by Carlos Fernandez-Granda [pdf]

Probability for Computer Scientists

by Chris Piech

Probability for Computer Scientists

by Robert J. Moss [pdf]

Probability in High Dimension

by Ramon van Handel [pdf] [Princeton]

Probability in High Dimensions

by Prof. Joel A. Tropp [pdf] [Caltech]

Probability Textbooks by Mark Huber

Probability Adventures

[pdf]

Probability Lectures and Labs

[pdf]

Probability Theory

by Amir Dembo [pdf] [Stanford]

Other course materials

Probability Theory (First Steps)

by E. S. Wentzel

Probability Theory & Computational Mathematics

by Prof. Joel A. Tropp [pdf] [Caltech]

Probability with Engineering Applications

by Bruce Hajek

Probability: Theory and Examples

by Rick Durrett [pdf]

Seeing Theory

a book about statistics with interactive visualizations by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, and Daniel Xiang

Statistical Inference, Second Edition

by George Casella and Roger L. Berger [pdf]

Statistics Handbook

by Carlo Occhiena

Stochastic Processes

by Amir Dembo [pdf]

The Probabilistic Method

by Noga Alon and Joel H. Spencer [pdf]

The Truth About Linear Regression

by Cosma Rohilla Shalizi

An introduction to mathematical proof

by Seçkin Demirbaş and Andrew Rechnitzer [pdf]

An Introduction to Mathematical Reasoning

by Matthew M. Conroy and Jennifer L. Taggart [pdf]

Book of Proof

, Third Edition by Richard Hammack

Handbook of Mathematical Proof

by Edward D. Kim [pdf]

Language and Proofs in Algebra: An Introduction

by Carmen Bruni [pdf]

Mathematical Reasoning & Proofs

by Alistair Savage [University of Ottawa]

Mathematical Reasoning: Writing and Proof (Version 3)

by Ted Sundstrom

Reading, Discovering and Writing Proofs

by Carmen Bruni [pdf]

The Mechanics of Proof

by Heather Macbeth

An Introduction to Abstract Mathematics

by Neil Donaldson and Alessandra Pantano [pdf]

Applied Discrete Structures

by Al Doerr and Ken Levasseur

Busy Beavers! - An interactive intro to Computability Theory

by Jim Fisher

Computational Complexity: A Modern Approach

by Sanjeev Arora and Boaz Barak

Discrete Mathematical Modeling

by Prof. Sara Billey [pdf]

Discrete Mathematics

by Andrew D. Ker [pdf]

Discrete Mathematics: An Open Introduction, 4th Edition

by Oscar Levin

Discrete Mathematics and Its Applications, Eighth Edition

by Kenneth H. Rosen

Discrete Structures for Computer Science: Counting, Recursion, and Probability

by Michiel Smid

Edsger W. Dijkstra Archive

Elements of Programming

by Alexander Stepanov and Paul McJones

Foundations of Computation

by Carol Critchlow and David Eck

Foundations of Computer Science

by Alfred V. Aho and Jeffrey D. Ullman

generatingfunctionology

by Herbert S. Wilf [pdf]

Great Ideas in Theoretical Computer Science

by Prof. Scott Aaronson

Introduction to Theoretical Computer Science

by Boaz Barak

Introduction to University Mathematics

by Ian Hewitt [pdf]

Mathematical Foundations of Computing

by Keith Schwarz [pdf]

Mathematical Techniques for Algorithm Analysis

by Eric Bach [pdf]

Mathematical Techniques for Computer Science

by Andrea Schalk [pdf]

Mathematics and Computation: A Theory Revolutionizing Technology and Science

by Avi Wigderson [pdf]

Mathematics for Computer Science

by Eric Lehman, F. Thomson Leighton, and Albert R. Meyer [pdf]

Mathematics for Computer Science

by Prof. Erik Demaine, Dr. Zachary Abel, and Dr. Brynmor Chapman

Mathematics for Computer Science

by Prof. Tom Leighton and Dr. Marten van Dijk

Notation as a Tool of Thought

by Kenneth E. Iverson

Notes on Computational Complexity Theory

by James Aspnes [pdf]

Notes on Discrete Mathematics

by James Aspnes [pdf]

Software Foundations

A broad introduction to the mathematical underpinnings of reliable software.

Type Theory & Functional Programming

by Simon Thompson [pdf]

What Can Be Computed?: A Practical Guide to the Theory of Computation

by John MacCormick [pdf]

Algebraic Topology for Data Scientists

by Michael S. Postol

Computational Algebraic Topology

by Vidit Nanda

General topology

[pdf]

Introduction To Symplectic Topology

by Dusa Mcduff and Dietmar Salamon [pdf]

Metric and Topological Spaces

by T. W. K¨orner [pdf]

Topology Without Tears

by Sidney A. Morris

Topology: A First Course

by James R. Munkres

A C++17 Thread Pool for High-Performance Scientific Computing

by Barak Shoshany

A Science of Concurrent Programs

by Leslie Lamport

Implementing simple cooperative threads in C

by Stephen Brennan

Introduction to Parallel Computing Tutorial

Is Parallel Programming Hard, And, If So, What Can You Do About It?

by Paul E. McKenney

Lockfree Programming: A Mental Model

by Anthony Bonkoski

POSIX Threads Programming

by Blaise Barney

Programming Parallel Computers

by Jukka Suomela, Samuli Laine, and Jaakko Lehtinen

Reading and writing

Article series on race conditions by James Coglan

Spinlocks vs. Mutexes: When to Spin and When to Sleep

The Deadlock Empire

Interactive tutorial to master threads and concurrency.

The Little Book of Semaphores

by Allen B. Downey

What every systems programmer should know about concurrency

by Matt Kline [pdf]

Introduction to Computer Music

by Prof. Jeffrey Hass

Music Theory for the 21st-Century Classroom

by Robert Hutchinson

A Commentary On The Sixth Edition Unix Operating System

by J. Lions

Advanced Linux Programming

by Mark Mitchell, Jeffrey Oldham, and Alex Samuel [pdf]

Exploring Operating Systems

Linux Basics for Hackers

by Abdulrahman Hegazy

Linux Insides

by Alex Kuleshov

Linux Learning Resources by Paul Cobbaut

Fundamentals

[pdf]

System Administration

[pdf]

Servers

[pdf]

Storage

[pdf]

Security

[pdf]

Networking

[pdf]

Fun

[pdf]

How to write Rust in the kernel

by Daroc Alden

Part 1

Part 2

Part 3

Making our own executable packer

by Amos Wenger

My Own Private Binary: An Idiosyncratic Introduction to Linux Kernel Modules

Notes on Operating Systems

by James Aspnes

Operating Systems: Three Easy Pieces

by Remzi H Arpaci-Dusseau and Andrea C Arpaci-Dusseau

Principia Softwarica

by Yoann Padioleau - A series of literate programming books explaining Plan 9 system programs.

Systems Programming: Lecture Notes

by Jian Huang

The Art of Unix Programming

by Eric Steven Raymond

The Linux Documentation Project

The Linux Kernel Module Programming Guide

by Peter Jay Salzman, Michael Burian, Ori Pomerantz, Bob Mottram, Jim Huang

The UNIX-HATERS Handbook

by Simson Garfinkel, Daniel Weise, and Steven Strassmann [pdf]

Unix as IDE

by Tom Ryder

A Journey in Creating an Operating System Kernel

by Mohammed Q. Hussain

Baking Pi – Operating Systems Development

by Alex Chadwick

Making a RISC-V Operating System using Rust

by Stephen Marz

Part 1 - Project Setup

Part 2 - Kernel in virtual addresses

Part 3 - Managing free memory

Operating System development tutorials in Rust on the Raspberry Pi

by Andre Richter

Operating System in 1,000 Lines

by Seiya Nuta

Operating Systems: From 0 to 1

by Tu Do

OSDev.org

The little book about OS development

by Erik Helin and Adam Renberg

Writing a Simple Operating System — from Scratch

by Nick Blundell

Writing an OS in Rust

by Philipp Oppermann

Writing an OS in Nim

by Khaled Hammouda

xv6: a simple, Unix-like teaching operating system

by Russ Cox, Frans Kaashoek, and Robert Morris

Photography for geeks

by Michal Zalewski

A free introduction to quantum computing and quantum mechanics

by Andy Matuschak and Michael Nielsen

An introduction to Lagrangian and Hamiltonian mechanics

by Simon J.A. Malham [pdf]

An Intuitive Guide to Maxwell’s Equations

by Nick M.

Applications of Classical Physics

by Roger D. Blandford and Kip S. Thorne

IBM Quantum Learning

Learn the basics of quantum computing.

Introduction to Classical and Quantum Computing

by Thomas G. Wong

Introduction to Special Relativity, Quantum Mechanics and Nuclear Physics for Nuclear Engineers

by Alex F. Bielajew [pdf]

Mechanics and Relativity

by Timon Idema

Motion Mountain

by Christoph Schiller - A free physics textbook in 5 volumes.

Open textbooks for undergraduate physics

Orbital Mechanics

by * Alan Zucconi*

Percolation Theory

by Dr. Kim Christensen [pdf]

Physics for Mathematicians

by Nicolas James Marks Ford

Quantum Computation Lecture Notes

by Peter Shor

Quantum Mechanics

by basketballguy

Quantum Mechanics for Engineers

by Leon van Dommelen [pdf]

Relativity: A Modern Primer

by Kevin Han

Structure and Interpretation of Classical Mechanics

by Gerald Jay Sussman and Jack Wisdom with Meinhard E. Mayer

The Feynman Lectures on Physics

by Richard Feynman (1961-1963). Includes audio recordings.

Physics-Based Simulation

by Minchen Li, Chenfanfu Jiang, and Zhaofeng Luo

A Dumb Introduction to z3

by Rahman Sibahi

Control structures in programming languages: from goto to algebraic effects

by Xavier Leroy

Exotic Programming Ideas

by Stephen Diehl

Part 1: Module Systems

Part 2: Term Rewriting

Part 3: Effect Systems

Part 4: Datalog

Introduction to the Theory of Programming Languages

by Bertrand Meyer

Programming Paradigms for Dummies: What Every Programmer Should Know

by Peter Van Roy [pdf]

University Physics

by Ole Witt-Hansen

Ada 95: The Craft of Object-Oriented Programming

by John English

Ada95 Lovelace tutorial

by David A. Wheeler

Ada Gem Archive

Introduction to Ada: a project-based exploration with rosettas

by Romain Gora

Part 1: Hello

A fundamental introduction to x86 assembly programming

by Nayuki

An interactive guide to x86-64 assembly

by Alberto Ventafridda

Easy RISC-V

FFmpeg School of Assembly Language

Learn Assembly Language

NASM x86 assembly language tutorial on Linux.

Programming from the Ground Up

by Jonathan Bartlett [pdf]

Learn x86-64 assembly by writing a GUI from scratch

by Philippe Gaultier

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

Part 4 - More About Jumps Than You Wanted To Know

NASM Tutorial

PC Assembly Language

by Paul A. Carter

RISC-V Assembly Programming

by Prof. Edson Borin

The Art of Assembly Language

by Randall Hyde

Understanding Windows x64 Assembly

by Siew Yi Liang

x86-64 Assembly Language Programming with Ubuntu

by Ed Jorgensen

Introduction to Bash Scripting

by Bobby Iliev

BBC BASIC for SDL 2.0

Compiler Options Hardening Guide for C and C++

Coroutines in C

by Simon Tatham

Demystifying bitwise operations, a gentle C tutorial

by Andrei Ciobanu

Extreme C

by Kamran Amini

Few lesser known tricks, quirks and features of C

Hacking Coroutines into C

by Christoph Walcher

Hacktical C: A practical hacker's guide to the C programming language

A practical hacker's guide to the C programming language.

How to implement a hash table (in C)

by Ben Hoyt

I Write Type Safe Generic Data Structures in C

by Daniel Hooper

Implementing smart pointers for the C programming language

Modern C

by Jens Gustedt

Object-Oriented Programming with ANSI-C

by Axel-Tobias Schreiner [pdf]

So You Think You Know C?

by Oleksandr Kaleniuk [pdf]

The C Book

by Mike Banahan, Declan Brady and Mark Doran

The Lost Art of Structure Packing

by Eric S. Raymond

Writing a Simple Garbage Collector in C

by Matthew Plant

Developing on AWS with C#

by Noah Gift and James Charlesworth [pdf]

C++ Core Guidelines

by Bjarne Stroustrup and Herb Sutter

Part 1

Part 5: Magic around __cxa_begin_catch and __cxa_end_catch

Part 9: Catching our first exception

Part 15: Finding the right landing pad

Part 21: A summary and some final thoughts

Appendix III: RTTI and exceptions orthogonality

C++20 Coroutines: sketching a minimal async framework

by Jeremy Ong

C++20 Concepts: The Definitive Guide

by Rajat Jain

Effective Modern C++