Computer Science

Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a computer memory or transcribed in genes and protein structures in a biological cell. A computer scientist specializes in the theory of computation and the design of computational systems.

Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
Source Code: My Beginnings
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
This Is How They Tell Me the World Ends: The Cyberweapons Arms Race
This Is for Everyone: The Unfinished Story of the World Wide Web
The Singularity Is Nearer: When We Merge with AI
The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want – Exposing Surveillance Capitalism and Artificial Intelligence Myths in Information Technology Today
Code Dependent: Living in the Shadow of AI
AI 2041: Ten Visions for Our Future
Genesis: Artificial Intelligence, Hope, and the Human Spirit
Why Machines Learn: The Elegant Math Behind Modern AI
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
A Thousand Brains: A New Theory of Intelligence
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
Introduction to Algorithms
The Pragmatic Programmer: From Journeyman to Master
Clean Code: A Handbook of Agile Software Craftsmanship
Structure and Interpretation of Computer Programs
Code: The Hidden Language of Computer Hardware and Software
Design Patterns: Elements of Reusable Object-Oriented Software
Algorithms to Live By: The Computer Science of Human Decisions
Designing Data-Intensive Applications
The Mythical Man-Month: Essays on Software Engineering
Code Complete: A Practical Handbook of Software Construction
The C Programming Language
Refactoring: Improving the Design of Existing Code
Artificial Intelligence: A Modern Approach
The Algorithm Design Manual
Introduction to the Theory of Computation
Paradigms of Artificial Intelligence Programming by Peter NorvigANSI Common Lisp by Paul    GrahamProgramming Clojure by Stuart HallowayLisp in Small Pieces by Christian QueinnecThe Art of the Metaobject Protocol by Gregor Kiczales
Rich Hickey's Clojure Bookshelf
39 books — 3 voters
Web Hacking Arsenal by Rafay  BalochHackers by Steven LevyThe Cuckoo's Egg by Clifford StollGhost in the Wires by Kevin D. MitnickWe Are Anonymous by Parmy Olson
Hacker nonfiction
66 books — 141 voters

The Immortal Life of Henrietta Lacks by Rebecca SklootLab Girl by Hope JahrenSilent Spring by Rachel CarsonAlien Earths by Lisa KalteneggerInvisible Women by Caroline Criado Pérez
Women in Science
326 books — 103 voters
Calculus by Michael SpivakHow to Solve It  by George PólyaHow to Prove It by Daniel J. VellemanUnderstanding Analysis by Stephen AbbottIntroduction to Linear Algebra by Gilbert Strang
Mathematics Year 1 (MCSL)
44 books — 14 voters


Douglas Edwards
In search," Urs (Hölzle) believed, "the discussion was really, How can we outdistance our current system and make it look laughable? That's the best definition of success: if a new system comes out and everyone says, 'Wow, I can't believe we put up with that old thing because it was so primitive and limited compared to this. ...more
Douglas Edwards, I'm Feeling Lucky: The Confessions of Google Employee Number 59

Robert Duchnik
Reusability is key in reducing bugs and coding quickly. The more I use a piece of code, the more confident and familiar I become with it, which in turn significantly speeds up my development time.
Robert Duchnik, jQuery Plugin Development In 30 Minutes

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