Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science) 2015th Edition by Kent D. Lee (PDF)

Description

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐I purchased this book to prep for technical interviews and it was just what I was looking for. Each topic is covered thoroughly and should serve well whether you’re learning for the first time or just need a refresher (like me). The example code is clean and compact, and there are lots of colorful figures throughout. The book itself is also nice and compact, about the size of a large novel rather than a huge backbreaking textbook.My only (very small) complaint is that the code doesn’t follow the PEP 8 style guide.

⭐The code presented in the textbook does not work. Code downloaded from the website is cluttered with statements to draw animations and obscures the logic.

⭐Great book that goes into just enough detail about different algorithms, how they work and the data structures that would be needed to make said algorithm efficient. Seems to be a great companion for University algorithm classes.

⭐

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