9783319130712-3319130714-Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)

Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)

ISBN-13: 9783319130712
ISBN-10: 3319130714
Edition: 2015
Author: Kent D. Lee, Steve Hubbard
Publication date: 2015
Publisher: Springer
Format: Paperback 378 pages
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Book details

ISBN-13: 9783319130712
ISBN-10: 3319130714
Edition: 2015
Author: Kent D. Lee, Steve Hubbard
Publication date: 2015
Publisher: Springer
Format: Paperback 378 pages

Summary

Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science) (ISBN-13: 9783319130712 and ISBN-10: 3319130714), written by authors Kent D. Lee, Steve Hubbard, was published by Springer in 2015. With an overall rating of 4.5 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data) books. You can easily purchase or rent Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science) (Paperback, Used) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $9.96.

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.

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