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Data Science Reading List

Top Books from The Pragmatic Bookshelf

Following are the top books in our Data Science category, some of which you can read right here on Medium.

Building Table Views with Phoenix LiveView: Advanced Table UIs for Accessible Data by Peter Ullrich

SQL Antipatterns, Volume 1: Avoiding the Pitfalls of Database Programming by Bill Karwin

Designing Data Governance from the Ground Up: Six Steps to Build a Data-Driven Culture by Lauren Maffeo

A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills by Jay Wengrow

📔 Read on Medium

Programming Machine Learning: From Coding to Deep Learning by Paolo Perrotta

📔 Read on Medium

Genetic Algorithms and Machine Learning for Programmers
Create AI Models and Evolve Solutions by Frances Buontempo

📔 Read on Medium

Seven Databases in Seven Weeks, Second Edition: A Guide to Modern Databases and the NoSQL Movement by Luc Perkins, Jim Wilson, and Eric Redmond

📔 Read on Medium

Complex Network Analysis in Python: Recognize → Construct → Visualize → Analyze → Interpret by Dmitry Zinoviev

📔 Read on Medium

Data Science Essentials in Python: Collect → ​Organize​ → ​Explore​ → ​Predict​ → Value​ by Dmitry Zinoviev

Core Data in Objective-C, Third Edition: Data Storage and Management for iOS and OS X by Marcus S. Zarra

📔 Read on Medium

Core Data in Swift: Data Storage and Management for iOS and OS X by Marcus S. Zarra

📔 Read on Medium

Seven Concurrency Models in Seven Weeks: When Threads Unravel by Paul Butcher

📔 Read on Medium

💡 You can also explore data science articles from our authors on Medium.

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