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Computers

Resources

AI Safety for Fleshy Humans

Andrej Karpathy on YouTube

App Academy

Brilliant.org

Boot.dev

Code.org

Codeacademy

The Coding Train

CodeWithHarry

Computer Science Roadmap

Corey Schafer on YouTube

CryptoZombies

Distill – Machine Learning Research Explained

Design+Code by Meng To

Explorable Explanations

Exercism

freeCodeCamp

Full Stack Python

Future Tools

How to Make a Website

‘How I would learn to code (If I could start over)

How to Learn to Code by CheersKevin

‘How to Learn Coding When You Don’t Know Where to Start’ from Reddit

Hackr.io

HTML & CSS is Hard

How to Use an API

Hack Design

Interactive Machine Learning, Deep Learning, and Statistics Websites

InterviewBit

Introduction to Information Theory by Jesus Najera

Just JavaScript

Learn Anything – Computers

Leetcode

Learn Solidity in 2 Hours

Learn X in Y Minutes

Learn SQL in 4 Hours

Learn Python in 4 Hours

The Network State by Balaji Srinivasan

Neural Networks: Zero to Hero

The Nature of Code

Neural Networks from Scratch

The Odin Project

PythonProgramming.net

Python Tutorial from Mode

Scrimba

Sentdex on YouTube

SQLBolt

Stack Overflow

Replit

Real Python

Scratch from MIT

SQL Tutorial from Mode

Stephen Grider on Udemy

Setosa.io

There’s an AI For That

W3Schools

Web Browser Engineering

The Web Developer Bootcamp 2023

What Every Computer Science Major Should Know

Books

Algorithms by Jeff Erickson

The Art of Computer Programming by Donald Knuth, Volumes 1-4, Boxed Set

The Art of Doing Science and Engineering: Learning to Learn by Richard W. Hamming

Artificial Intelligence: A Modern Approach by Russel & Norvig

Code: The Hidden Language of Computer Hardware and Software by Charles Petzold

Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin

The Clean Coder: A Code of Conduct for Professional Programmers by Robert Martin

Clean Agile: Back to Basics by Robert C. Martin

Clean Architecture: A Craftsman’s Guide to Software Structure and Design by Robert C. Martin

A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow

The Dream Machine by M. Mitchell Waldrop

The Elements of Computing Systems: Building a Modern Computer from First Principles by Nisan & Schocken

Eloquent JavaScript: A Modern Introduction to Programming by Marijn Haverbeke

Introduction to Algorithms by Cormen, Leiserson, Rivest, Stein

Neural Networks from Scratch

Operating Systems: Three Easy Pieces by Remzi & Andrea Arpaci-Dusseau

Open Circuits: The Inner Beauty of Electronic Components by Oskay & Schlaepfer

Quantum Computing Since Democritus by Scott Aaronson

Reinforcement Learning: An Introduction by Sutton & Barton

Working in Public: The Making and Maintenance of Open Source Software by Nadia Eghbal

Courses

How Computers Work from Chuck Denning

Computer Science 101 from Stanford

Computing from Khan Academy

Build a Modern Computer from First Principles: From Nand to Tetris

Teach Yourself Computer Science (teachyourselfcs.com)

“Getting a B.S. in C.S.” without the BS

Theory of Computation from MIT

CS50 Introduction to Computer Science from Harvard

Introduction to Computer Science and Programming Using Python from MIT

The Full Stack – Deep Learning

Introduction to Deep Learning from MIT

How to Analyze Data with Python, Pandas & Numpy

Deep Learning for Art, Aesthetics, and Creativity from MIT

Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

How Computers Work from University of London

Yann LeCun’s Deep Learning Course at CDS from NYU

Deep Neural Networks CS 182/282A from UC Berkeley

Applied Machine Learning, Cornell CS 5787

CS229: Machine Learning from Stanford

CS230: Deep Learning from Stanford

CS25: Transformers United from Stanford

A Self-Learning, Modern Computer Science Curriculum

Stephen Grider on Udemy

All Computer Materials

CodeWithHarry

Neural Networks from Scratch

PythonProgramming.net

Real Python

Corey Schafer on YouTube

AI Safety for Fleshy Humans

Explorable Explanations

Setosa.io

Distill – Machine Learning Research Explained

Interactive Machine Learning, Deep Learning, and Statistics Websites

The Nature of Code

The Coding Train

Full Stack Python

Leetcode

Algorithms Specialization from Stanford

Computers and the Internet from Khan Academy

Zero to ASIC Course

Stephen Grider on Udemy

Andrej Karpathy on YouTube

The Open Source Computer Science Degree

Boot.dev

Operating Systems: Three Easy Pieces by Remzi & Andrea Arpaci-Dusseau

Computer Science Roadmap

Web Browser Engineering

What Every Computer Science Major Should Know

‘How I would learn to code (If I could start over)

A Self-Learning, Modern Computer Science Curriculum

“Getting a B.S. in C.S.” without the BS

Teach Yourself Computer Science (teachyourselfcs.com)

There’s an AI For That

Design+Code by Meng To

Systems Performance: Enterprise and the Cloud by Brendan Gregg

Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript by Harry Percival

Quanta Magazine

How to Analyze Data with Python, Pandas & Numpy

CS25: Transformers United from Stanford

Deep Learning for Art, Aesthetics, and Creativity from MIT

Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

CS230: Deep Learning from Stanford

CS229: Machine Learning from Stanford

Applied Machine Learning, Cornell CS 5787

The Full Stack – Deep Learning

Deep Neural Networks CS 182/282A from UC Berkeley

Yann LeCun’s Deep Learning Course at CDS from NYU

Introduction to Deep Learning from MIT

Introduction to Computer Science and Programming Using Python from MIT

CS50 Introduction to Computer Science from Harvard

Build a Modern Computer from First Principles: From Nand to Tetris

Theory of Computation from MIT

How Computers Work from University of London

Computing from Khan Academy

Computer Science 101 from Stanford

How Computers Work from Chuck Denning

Eloquent JavaScript: A Modern Introduction to Programming by Marijn Haverbeke

Reinforcement Learning: An Introduction by Sutton & Barton

Artificial Intelligence: A Modern Approach by Russel & Norvig

Algorithms by Jeff Erickson

A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow

Introduction to Algorithms by Cormen, Leiserson, Rivest, Stein

Quantum Computing Since Democritus by Scott Aaronson

The Art of Computer Programming by Donald Knuth, Volumes 1-4, Boxed Set

Open Circuits: The Inner Beauty of Electronic Components by Oskay & Schlaepfer

The Elements of Computing Systems: Building a Modern Computer from First Principles by Nisan & Schocken

Clean Architecture: A Craftsman’s Guide to Software Structure and Design by Robert C. Martin

Clean Agile: Back to Basics by Robert C. Martin

Clean Craftsmanship: Disciplines, Standards, and Ethics by Robert C. Martin

The Clean Coder: A Code of Conduct for Professional Programmers by Robert Martin

Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin

Working in Public: The Making and Maintenance of Open Source Software by Nadia Eghbal

The Art of Doing Science and Engineering: Learning to Learn by Richard W. Hamming

The Dream Machine by M. Mitchell Waldrop

Code: The Hidden Language of Computer Hardware and Software by Charles Petzold

InterviewBit

Hack Design

The Network State by Balaji Srinivasan

Neural Networks: Zero to Hero

How to Learn to Code by CheersKevin

App Academy

Stack Overflow

Future Tools

Brilliant.org

CryptoZombies

Learn Solidity in 2 Hours

SQLBolt

Learn SQL in 4 Hours

SQL Tutorial from Mode

Python Tutorial from Mode

Learn Python in 4 Hours

Sentdex on YouTube

How to Use an API

The Web Developer Bootcamp 2023

Just JavaScript

Scrimba

HTML & CSS is Hard

The Odin Project

How to Make a Website

Learn Anything – Computers

Learn X in Y Minutes

Hackr.io

Codeacademy