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Best Selling Computer Science Books

(Disclosure: As an Amazon Associate, I earn on qualifying purchases resulting from clicks on links listed below.)
      
                          

There are a number of books appearing on Amazon's Best Seller's List for Computer Science. This article includes a small selection from that list. I've added a few of them to my own personal reading queue.

Amazon Best Seller's List: Computer Science
(25 September 2021)

  • Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming 2nd Edition by Eric Matthes Check it out
  • CompTIA A+ Certification All-in-One Exam Guide, Tenth Edition (Exams 220-1001 & 220-1002) 10th Edition by Mike Meyers Check it out
  • Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners Illustrated Edition by Al Sweigart Check it out
  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition by Wes McKinney Check it out
  • Design Patterns: Elements of Reusable Object-Oriented Software 1st Edition by Erich Gamma Check it out
  • Introduction to Algorithms, 3rd Edition (The MIT Press) 3rd Edition by Thomas H. Cormen Check it out
  • SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL Illustrated Edition by Walter Shields Check it out
  • The Art of Doing Science and Engineering: Learning to Learn by Richard W. Hamming Check it out
  • Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian Check it out
  • A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills 2nd Edition by Jay Wengrow Check it out
  • The Big Score: The Billion Dollar Story of Silicon Valley Hardcover by Michael S. Malone Check it out
  • Head First HTML and CSS: A Learner's Guide to Creating Standards-Based Web Pages 2nd Edition by Elisabeth Robson, Eric Freeman Check it out
  • Machine Learning: 4 Books in 1, A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science – Unabridged Samuel Hack (Author), Sean Antony (Narrator) Check it out
  • Networking and Kubernetes: A Layered Approach 1st Edition by James Strong, Vallery Lancey Check it out
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition by Aurélien Géron Check it out
  • Fundamentals of Software Architecture: An Engineering Approach – Unabridged Mark Richards and Neal Ford (Authors), Benjamin Lange (Narrator) [A free audio version is available but buy the book so that you can add your own notes to the margins.] Check it out

                          

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