 The Art of Computer Programming, Volume 1: Fundamental Algorithms
| 1973 |
 Algorithms to Live By: The Computer Science of Human Decisions
| 2016 |
 In the Beginning...Was the Command Line
| 2009 |
 Structure and Interpretation of Computer Programs
| 1979 |
 How to Read a Book
| 1940 |
 The Mythical Man-Month: Essays on Software Engineering
| 1975 |
 How to Take Smart Notes
| 2017 |
 Accelerate: Building and Scaling High-Performing Technology Organizations
| 2018 |
 Learning How to Learn
| 2018 |
 Digital Minimalism: Choosing a Focused Life in a Noisy World
| 2019 |
 97 Things Every Programmer Should Know: Collective Wisdom from the Experts
| 2010 |
 How to Make Sense of Any Mess: Information Architecture for Everybody
| 2014 |
 The Art of Conversation: A Guided Tour of a Neglected Pleasure
| 2008 |
 Deep Work
| 2016 |
 The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
| 1999 |
 Genius
| 1992 |
 Beautiful Code
| 2009 |
 How to Solve it
| 1945 |
 Calling Bullshit: The Art of Skepticism in a Data-Driven World
| 2020 |
 Peopleware
| 1987 |
 Data Sketches
| 2020 |
 Fluent forever
| 2014 |
 Feeling Good
| 1980 |
 Mind Hacking
| 2016 |
 A World Without Email: Reimagining Work in an Age of Communication Overload
| 2021 |
 How to Become a Straight-A Student
| 2006 |
 Managing Oneself
| 2008 |
 The Happiness Trap: How to Stop Struggling and Start Living: A Guide to ACT
| 2007 |
 Barking Up the Wrong Tree The Surprising Science Behind Why Everything You Know About Success Is Wrong
| 2017 |
 An Elegant Puzzle: Systems of Engineering Management
| 2019 |
 User Friendly
| 2019 |
 The Rust Programming Language
| 2018 |
 Staff Engineer
| 2021 |
 Composing Software
| |
 Grokking Algorithms
| 2024 |
 Docs for Developers
| 2021 |
 Continuous Discovery Habits
| 2021 |
 Decoding Greatness
| 2021 |
 Grokking Deep Learning
| 2019 |
 Write Great Code, Volume 3
| 2020 |
 Learn Enough Command Line to Be Dangerous Learn Enough Command Line to Be Dangerous: A tutorial introduction to the Unix command line
| |
 The Design of Design
| 2010 |
 The Hundred-Page Machine Learning Book
| |
 The Atlas of AI
| 2021 |
 Deep Learning
| 2019 |
 Creativity
| 2020 |
 A Programmer's Introduction to Mathematics
| |
 Reclaiming Conversation: The Power of Talk in a Digital Age
| 2015 |
 Dive Into Design Patterns
| 2018 |
 Beyond the Basic Stuff with Python
| 2020 |
 Machine Learning Machine Learning
| |
 The Ph.D. Grind: A Ph.D. Student Memoir
| 2012 |
 Functional Programming in Python
| 2015 |
 Finishing School Finishing School: The Happy Ending to That Writing Project You Can't Seem to Get Done
| |
 The Art of Thinking Clearly The Art of Thinking Clearly
| |
 Fluent Python Fluent Python: Clear, Concise, and Effective Programming
| |
 Write Great Code, Volume 2, 2nd Edition Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level
| |
Data Science Data Science
| |
Building Maintainable Software Building Maintainable Software
| |
 Beautiful Code Beautiful Code: Leading Programmers Explain How They Think
| |
 BetweenBrains BetweenBrains: Taking Back our AI Future
| |
 Design Patterns Design Patterns: Elements of Reusable Object-Oriented Software
| |
 The Contrarian: Peter Thiel and Silicon Valley's Pursuit of Power
| 2021 |
15 Secrets Successful People Know About Time Management 15 Secrets Successful People Know About Time Management: The Productivity Habits of 7 Billionaires, 13 Olympic Athletes, 29 Straight-A Students, and 239 Entrepreneurs
| |
500 Lines or Less 500 Lines or Less
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On the Quest for Computable Knowledge On the Quest for Computable Knowledge
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The Great Mental Models The Great Mental Models: General Thinking Concepts
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The Architecture of Open Source Applications The Architecture of Open Source Applications
| |
Working in Public Working in Public: The Making and Maintenance of Open Source Software
| 2020 |
Distributed Systems Distributed Systems
| |
 Code Reviews 101
| |
Refactoring to Patterns Refactoring to Patterns
| |
Trying Not to Try Trying Not to Try: The Art and Science of Spontaneity
| |
C Programming Language 2nd Edition C Programming Language 2nd Edition
| |
How Creativity Rules the World How Creativity Rules the World: The Art and Business of Turning Your Ideas into Gold
| |
The Architecture of Open Source Applications, Volume II The Architecture of Open Source Applications, Volume II
| |
 The Discrete Charm of the Machine: Why the World Became Digital
| 2019 |
Start Here, Volume 2 Start Here, Volume 2: Read Your Way Into 25 Amazing Authors
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The Performance of Open Source Applications The Performance of Open Source Applications
| |
The Self-Taught Programmer The Self-Taught Programmer: The Definitive Guide to Programming Professionally
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The AI-First Company The AI-First Company: How to Compete and Win with Artificial Intelligence
| |
Computational Thinking Computational Thinking
| |
The Hemlock Cup The Hemlock Cup: Socrates, Athens, and the Search for the Good Life
| |
Database Internals Database Internals: A deep-dive into how distributed data systems work
| |
 Programming Rust: Fast, Safe Systems Development
| |
Write Great Code, Volume 3 Write Great Code, Volume 3: Engineering Software
| |
Artificial Intelligence for Humans, Volume 3 Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
| |
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| |
 The Organization of Information
| |
The Elements of Programming Style The Elements of Programming Style
| |
Life in Code Life in Code: A Personal History of Technology
| |
Bursts Bursts: The Hidden Patterns Behind Everything We Do, from Your E-mail to Bloody Crusades
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 On Writing Well: The Classic Guide to Writing Nonfiction
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 What Tech Calls Thinking: An Inquiry Into the Intellectual Bedrock of Silicon Valley
| 2020 |
 20 Python Libraries You Aren't Using
| |
The Effective Engineer The Effective Engineer: How to Leverage Your Efforts In Software Engineering to Make a Disproportionate and Meaningful Impact
| |
 The Know-It-Alls: The Rise of Silicon Valley as a Political Powerhouse and Social Wrecking Ball
| 2017 |
Machine Translation Machine Translation
| |
Designing Data-Intensive Applications Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| |
 Computer Science: A Very Short Introduction
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