4.5 | - | ||
3.95 | - | ||
3.84 | - | ||
4.13 | - | ||
3.8 | - | ||
4 | - | ||
3.99 | - | ||
4.33 | - | ||
4.25 | - | ||
4 | - | ||
3.29 | - | ||
3.11 | - | ||
3 | - | ||
4.09 | - | ||
4.23 | - | ||
3.85 | - | ||
Beautiful Code
| 3.67 | - | |
4.11 | - | ||
4.33 | - | ||
4.39 | - | ||
5 | - | ||
3.82 | - | ||
3.42 | - | ||
4 | - | ||
3.92 | - | ||
4.07 | - | ||
3.63 | - | ||
4.23 | - | ||
4.16 | - | ||
4.18 | - | ||
3.87 | - | ||
4.5 | - | ||
4 | - | ||
3 | - | ||
4.2 | - | ||
3.1 | - | ||
4.5 | - | ||
5 | - | ||
0 | - | ||
0 | - | ||
Learn Enough Command Line to Be Dangerous Learn Enough Command Line to Be Dangerous: A tutorial introduction to the Unix command line
| 4 | - | |
2.67 | - | ||
2 | - | ||
3.33 | - | ||
0 | - | ||
4.08 | - | ||
5 | - | ||
3 | - | ||
5 | - | ||
0 | - | ||
Machine Learning Machine Learning
| 3 | - | |
3 | - | ||
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 | - | |
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 | - | |
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 | - | |
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 | - | |
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 | - | |
0 | - | ||
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 | - | |
3.75 | - | ||
3 | - | ||
0 | - | ||
The Effective Engineer The Effective Engineer: How to Leverage Your Efforts In Software Engineering to Make a Disproportionate and Meaningful Impact
| 0 | - | |
0 | - | ||
Machine Translation Machine Translation
| 0 | - | |
Designing Data-Intensive Applications Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| 0 | - | |
0 | - |