 The Art of Computer Programming, Volume 1: Fundamental Algorithms
| 4.5 |
 Algorithms to Live By: The Computer Science of Human Decisions
| 3.95 |
 In the Beginning...Was the Command Line
| 3.84 |
 Structure and Interpretation of Computer Programs
| 4.13 |
 How to Read a Book
| 3.8 |
 The Mythical Man-Month: Essays on Software Engineering
| 4 |
 How to Take Smart Notes
| 3.99 |
 Accelerate: Building and Scaling High-Performing Technology Organizations
| 4.33 |
 Learning How to Learn
| 4.25 |
 Digital Minimalism: Choosing a Focused Life in a Noisy World
| 4 |
 97 Things Every Programmer Should Know: Collective Wisdom from the Experts
| 3.29 |
 How to Make Sense of Any Mess: Information Architecture for Everybody
| 3.11 |
 The Art of Conversation: A Guided Tour of a Neglected Pleasure
| 3 |
 Deep Work
| 4.09 |
 The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
| 4.23 |
 Genius
| 3.85 |
 Beautiful Code
| 3.67 |
 How to Solve it
| 4.11 |
 Calling Bullshit: The Art of Skepticism in a Data-Driven World
| 4.33 |
 Peopleware
| 4.39 |
 Data Sketches
| 5 |
 Fluent forever
| 3.82 |
 Feeling Good
| 3.42 |
 Mind Hacking
| 4 |
 A World Without Email: Reimagining Work in an Age of Communication Overload
| 3.92 |
 How to Become a Straight-A Student
| 4.07 |
 Managing Oneself
| 3.63 |
 The Happiness Trap: How to Stop Struggling and Start Living: A Guide to ACT
| 4.23 |
 Barking Up the Wrong Tree The Surprising Science Behind Why Everything You Know About Success Is Wrong
| 4.16 |
 An Elegant Puzzle: Systems of Engineering Management
| 4.18 |
 User Friendly
| 3.87 |
 The Rust Programming Language
| 4.5 |
 Staff Engineer
| 4 |
 Composing Software
| 3 |
 Grokking Algorithms
| 4.2 |
 Docs for Developers
| 3.1 |
 Continuous Discovery Habits
| 4.5 |
 Decoding Greatness
| 5 |
 Grokking Deep Learning
| 0 |
 Write Great Code, Volume 3
| 0 |
 Learn Enough Command Line to Be Dangerous Learn Enough Command Line to Be Dangerous: A tutorial introduction to the Unix command line
| 4 |
 The Design of Design
| 2.67 |
 The Hundred-Page Machine Learning Book
| 2 |
 The Atlas of AI
| 3.33 |
 Deep Learning
| 0 |
 Creativity
| 4.08 |
 A Programmer's Introduction to Mathematics
| 5 |
 Reclaiming Conversation: The Power of Talk in a Digital Age
| 3 |
 Dive Into Design Patterns
| 5 |
 Beyond the Basic Stuff with Python
| 0 |
 Machine Learning Machine Learning
| 3 |
 The Ph.D. Grind: A Ph.D. Student Memoir
| 3 |
 Functional Programming in Python
| 0 |
 Finishing School Finishing School: The Happy Ending to That Writing Project You Can't Seem to Get Done
| 0 |
 The Art of Thinking Clearly The Art of Thinking Clearly
| 0 |
 Fluent Python Fluent Python: Clear, Concise, and Effective Programming
| 0 |
 Write Great Code, Volume 2, 2nd Edition Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level
| 0 |
Data Science Data Science
| 0 |
Building Maintainable Software Building Maintainable Software
| 0 |
 Beautiful Code Beautiful Code: Leading Programmers Explain How They Think
| 0 |
 BetweenBrains BetweenBrains: Taking Back our AI Future
| 0 |
 Design Patterns Design Patterns: Elements of Reusable Object-Oriented Software
| 0 |
 The Contrarian: Peter Thiel and Silicon Valley's Pursuit of Power
| 0 |
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
| 0 |
500 Lines or Less 500 Lines or Less
| 0 |
On the Quest for Computable Knowledge On the Quest for Computable Knowledge
| 0 |
The Great Mental Models The Great Mental Models: General Thinking Concepts
| 0 |
The Architecture of Open Source Applications The Architecture of Open Source Applications
| 0 |
Working in Public Working in Public: The Making and Maintenance of Open Source Software
| 4.25 |
Distributed Systems Distributed Systems
| 0 |
 Code Reviews 101
| 0 |
Refactoring to Patterns Refactoring to Patterns
| 0 |
Trying Not to Try Trying Not to Try: The Art and Science of Spontaneity
| 0 |
C Programming Language 2nd Edition C Programming Language 2nd Edition
| 0 |
How Creativity Rules the World How Creativity Rules the World: The Art and Business of Turning Your Ideas into Gold
| 3 |
The Architecture of Open Source Applications, Volume II The Architecture of Open Source Applications, Volume II
| 0 |
 The Discrete Charm of the Machine: Why the World Became Digital
| 0 |
Start Here, Volume 2 Start Here, Volume 2: Read Your Way Into 25 Amazing Authors
| 0 |
The Performance of Open Source Applications The Performance of Open Source Applications
| 0 |
The Self-Taught Programmer The Self-Taught Programmer: The Definitive Guide to Programming Professionally
| 0 |
The AI-First Company The AI-First Company: How to Compete and Win with Artificial Intelligence
| 0 |
Computational Thinking Computational Thinking
| 0 |
The Hemlock Cup The Hemlock Cup: Socrates, Athens, and the Search for the Good Life
| 0 |
Database Internals Database Internals: A deep-dive into how distributed data systems work
| 0 |
 Programming Rust: Fast, Safe Systems Development
| 4.5 |
Write Great Code, Volume 3 Write Great Code, Volume 3: Engineering Software
| 0 |
Artificial Intelligence for Humans, Volume 3 Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
| 0 |
 Why Rust?
| 0 |
 The Organization of Information
| 0 |
The Elements of Programming Style The Elements of Programming Style
| 0 |
Life in Code Life in Code: A Personal History of Technology
| 0 |
Bursts Bursts: The Hidden Patterns Behind Everything We Do, from Your E-mail to Bloody Crusades
| 0 |
 On Writing Well: The Classic Guide to Writing Nonfiction
| 3.75 |
 What Tech Calls Thinking: An Inquiry Into the Intellectual Bedrock of Silicon Valley
| 3 |
 20 Python Libraries You Aren't Using
| 0 |
The Effective Engineer The Effective Engineer: How to Leverage Your Efforts In Software Engineering to Make a Disproportionate and Meaningful Impact
| 0 |
 The Know-It-Alls: The Rise of Silicon Valley as a Political Powerhouse and Social Wrecking Ball
| 0 |
Machine Translation Machine Translation
| 0 |
Designing Data-Intensive Applications Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| 0 |
 Computer Science: A Very Short Introduction
| 0 |