Early Praise for A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1

Students and programmers everywhere are told how important algorithms and data structures are for creating quality software—not to mention getting hired at the best companies—and, yet, there are so few resources that bring actual clarity to the topic. This book does! The combination of Python’s simplicity and Jay’s ability to drill down on what you need to know is a winning formula. Reading this book is a worthwhile investment for any software engineer.

A Common Sense Guide to Data Structures and Algorithms in Python is one of those rare books that both unravels the sometimes impenetrable algorithmic content and keeps the reader engaged with a direct and approachable writing style. I highly recommend this book to anyone that wants to dig into algorithms to improve their programming skills.

As a beginner to coding, I have read many books on algorithms and Jay’s book is the only one which doesn’t assume the reader is a math genius nor does it treat you in a condescending manner. From the start of the book he encourages your learning and understanding as a mentor and a friend.

The book serves as an exceptional reference for individuals seeking to grasp the fundamental concepts in data structures and algorithms (DSA) and an ideal entry point to the realm of DSA, particularly for those with limited or no prior background in computer science. It excels in explaining the complex algorithms by using clever illustrations and examples, making the book a fascinating read.

The easy-to-digest and approachable content makes the rather obtuse and math-heavy jargon field of data structures and algorithms quite approachable to all. If you don’t like switching contexts whilst studying, this special edition is for you, as it uses only Python to demonstrate concepts. You can’t go wrong with this book!