• Skip to main content
  • Skip to header right navigation
  • Skip to site footer
Subscribe for exclusive resources and insights
Becket U

Becket U

The Best Resources for Learning STEM

  • Our Story
  • Subjects
    • Math
    • Physics
    • Computers
    • Microeconomics
    • Game Theory
    • Persuasion
  • Newsletter Archives
  • Requests & Feedback
  • Library
  • Math
  • Physics
  • Computers
  • Microeconomics
  • Game Theory
  • Persuasion

You are here: Home / Subjects / Computers

Computers

Resources

View All

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

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

Computer Science Roadmap

freeCodeCamp

Codeacademy

Replit

Leetcode

Exercism

How to Make a Website

The Odin Project

Just JavaScript

Python Tutorial from Mode

SQL Tutorial from Mode

CryptoZombies

Brilliant.org

The Network State by Balaji Srinivasan

Design+Code by Meng To

There’s an AI For That


Books

View All

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

The Dream Machine by M. Mitchell Waldrop

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

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

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

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

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

Introduction to Algorithms by Cormen, Leiserson, Rivest, Stein


Courses

View All

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)

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

All Computer Materials

View All

© 2025 Becket U LLC.
All Rights Reserved. Powered by BizBudding

  • About
  • Sponsorship
  • Terms of Service
  • Privacy Policy

Becket U participates in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising commissions by linking to Amazon.