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
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Source Code: My Beginnings
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
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
Code Dependent: Living in the Shadow of AI
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
AI 2041: Ten Visions for Our Future
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
Why Machines Learn: The Elegant Math Behind Modern AI
Quantum Supremacy
Genesis: Artificial Intelligence, Hope, and the Human Spirit
Focus: The ASML way - Inside the power struggle over the most complex machine on earth
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
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
Influence by Robert B. CialdiniThe Marketing Machine by Ros ConkieStructures by J.E. GordonTeam Topologies by Matthew    SkeltonThe Creative Act by Rick Rubin
Holistic Engineer
25 books — 5 voters

Introductory Statistics with R by Peter DalgaardAn Introduction to Statistical Learning by Gareth JamesThe Art of R Programming by Norman MatloffExtending the Linear Model with R by Julian James FarawayR for Data Science by Hadley Wickham
Open Syllabus R Books
83 books — 1 voter


Code is not like other how-computers-work books. It doesn't have big color illustrations of disk drives with arrows showing how the data sweeps into the computer. Code has no drawings of trains carrying a cargo of zeros and ones. Metaphors and similes are wonderful literary devices but they do nothing but obscure the beauty of technology. ...more
Charles Petzold, Code: The Hidden Language of Computer Hardware and Software

Abhijit Naskar
Let me tell you as a brain scientist and a computer engineering dropout - transhumanism is to brain computer interface, what nuclear weapons are to nuclear physics.
Abhijit Naskar, Amantes Assemble: 100 Sonnets of Servant Sultans

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