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Designing Data-Intensive Applications
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Deep Learning
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Algorithms to Live By: The Computer Science of Human Decisions
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The Clean Coder: A Code of Conduct for Professional Programmers
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An Introduction to Statistical Learning: with Applications in R
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Eloquent JavaScript: A Modern Introduction to Programming
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99 Bottles of OOP
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Unit Testing: Principles, Practices, and Patterns
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Understanding Computation: From Simple Machines to Impossible Programs
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Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
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Python Tricks: A Buffet of Awesome Python Features
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Geek Sublime: The Beauty of Code, the Code of Beauty
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3.60 avg rating — 4,690 ratings
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Design of Design, The: Essays from a Computer Scientist
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Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)
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Automate This: How Algorithms Came to Rule Our World
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Algorithms Unlocked
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Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
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Machine Learning
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The Book of CSS3: A Developer's Guide to the Future of Web Design
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Python for Everybody: Exploring Data in Python 3
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The Art of R Programming: A Tour of Statistical Software Design
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Big Data: A Revolution That Will Transform How We Live, Work, and Think
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Think Like a Programmer: An Introduction to Creative Problem Solving
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Python for Kids: A Playful Introduction to Programming
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Elements of Programming Interviews in Python: The Insiders' Guide
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How Google Tests Software
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I Heart Logs: Event Data, Stream Processing, and Data Integration
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Soft Skills: The Software Developer's Life Manual
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Black Hat Python: Python Programming for Hackers and Pentesters
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Python Crash Course: A Hands-On, Project-Based Introduction to Programming
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Python Data Science Handbook: Essential Tools for Working with Data
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