Data Structures and Algorithms with Python

by Kent D. Lee, Steve Hubbard

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. 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.

Genres: Computer Science, Programming, Algorithms, Nonfiction

521 pages, Kindle Edition

First published January 12, 2015

Reviews

[M. · Rating 4 out of 5]

A decent dive into the world of data structures in Python; The author made a good job in breaking down difficult concepts using simple examples and funny language.
It was a breeze to read, but it needs some real touch-ups regarding the topics covered...