[Update: Visit the website for current listings of certification books, textbooks, and Amazon Best Sellers. There you can also browse the offerings of Abe Books for international purchases.]
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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: A Hands-On, Project-Based Introduction to Programming 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 : Practical Programming for Total Beginners Check it out
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney Check it out
- Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma Check it out
- Introduction to Algorithms, 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, Level Up Your Core Programming Skills 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 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 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 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
~Invitation~
I invite you to join me on my blog and YouTube Channel where I post tech content covering various topics.
~Relevant Blog and Channel Topics~
Computer Science
Software Engineering
Data Engineering
Artificial Intelligence
Machine Learning
Cognitive Computing
Blockchain
NFT
Virtual Reality
Augmented Reality
Leetcode
Computer Networking
FAANG
Tech Hubs
Agile
Hacker Rank
Data Structures
Algorithms
Time Complexity
Big Data
Python
Java
R Programming
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