1973 | 6 reads | |
2016 | 102 reads | |
2009 | 25 reads | |
1979 | 22 reads | |
1940 | 71 reads | |
1975 | 52 reads | |
2017 | 113 reads | |
2018 | 35 reads | |
2018 | 6 reads | |
2019 | 297 reads | |
2010 | 10 reads | |
2014 | 9 reads | |
2008 | 1 read | |
2016 | 354 reads | |
1999 | 101 reads | |
1992 | 15 reads | |
Beautiful Code
| 2009 | 6 reads |
1945 | 12 reads | |
2020 | 14 reads | |
1987 | 36 reads | |
2020 | 1 read | |
2014 | 31 reads | |
1980 | 31 reads | |
2016 | 7 reads | |
2021 | 48 reads | |
2006 | 42 reads | |
2008 | 23 reads | |
2007 | 18 reads | |
2017 | 44 reads | |
2019 | 35 reads | |
2019 | 21 reads | |
2018 | 19 reads | |
2021 | 23 reads | |
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2024 | 23 reads | |
2021 | 6 reads | |
2021 | 13 reads | |
2021 | 1 read | |
2019 | 1 read | |
2020 | 0 reads | |
Learn Enough Command Line to Be Dangerous Learn Enough Command Line to Be Dangerous: A tutorial introduction to the Unix command line
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2010 | 3 reads | |
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2021 | 4 reads | |
2019 | 0 reads | |
2020 | 13 reads | |
2 reads | ||
2015 | 1 read | |
2018 | 5 reads | |
2020 | 1 read | |
Machine Learning Machine Learning
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2012 | 1 read | |
2015 | 0 reads | |
Finishing School Finishing School: The Happy Ending to That Writing Project You Can't Seem to Get Done
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The Art of Thinking Clearly The Art of Thinking Clearly
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Fluent Python Fluent Python: Clear, Concise, and Effective Programming
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Write Great Code, Volume 2, 2nd Edition Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level
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Data Science Data Science
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Building Maintainable Software Building Maintainable Software
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Beautiful Code Beautiful Code: Leading Programmers Explain How They Think
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BetweenBrains BetweenBrains: Taking Back our AI Future
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Design Patterns Design Patterns: Elements of Reusable Object-Oriented Software
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2021 | 0 reads | |
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
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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
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Working in Public Working in Public: The Making and Maintenance of Open Source Software
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Distributed Systems Distributed Systems
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Refactoring to Patterns Refactoring to Patterns
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Trying Not to Try Trying Not to Try: The Art and Science of Spontaneity
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C Programming Language 2nd Edition C Programming Language 2nd Edition
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How Creativity Rules the World How Creativity Rules the World: The Art and Business of Turning Your Ideas into Gold
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The Architecture of Open Source Applications, Volume II The Architecture of Open Source Applications, Volume II
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2019 | 0 reads | |
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
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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
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Computational Thinking Computational Thinking
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The Hemlock Cup The Hemlock Cup: Socrates, Athens, and the Search for the Good Life
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Database Internals Database Internals: A deep-dive into how distributed data systems work
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Write Great Code, Volume 3 Write Great Code, Volume 3: Engineering Software
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Artificial Intelligence for Humans, Volume 3 Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
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The Elements of Programming Style The Elements of Programming Style
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Life in Code Life in Code: A Personal History of Technology
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Bursts Bursts: The Hidden Patterns Behind Everything We Do, from Your E-mail to Bloody Crusades
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2020 | 1 read | |
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The Effective Engineer The Effective Engineer: How to Leverage Your Efforts In Software Engineering to Make a Disproportionate and Meaningful Impact
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2017 | 0 reads | |
Machine Translation Machine Translation
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Designing Data-Intensive Applications Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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