Overview
- Includes broad coverage of both introductory and advanced data structures topics, supported by examples
- Guides the reader through the concepts of computational complexity, from the basics to amortized complexity
- Makes learning fun, using the development of graphical user interface programs to illustrate concepts
- Includes supplementary material: sn.pub/extras
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (20 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Kent D. Lee is Professor of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer textbook Python Programming Fundamentals and the forthcoming Foundations of Programming Languages.
Dr. Steve Hubbard is Professor of Mathematics and Computer Science at Luther College.
Bibliographic Information
Book Title: Data Structures and Algorithms with Python
Authors: Kent D. Lee, Steve Hubbard
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-3-319-13072-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2015
eBook ISBN: 978-3-319-13072-9Published: 12 January 2015
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XV, 363
Number of Illustrations: 8 b/w illustrations, 139 illustrations in colour
Topics: Data Structures, Python, Algorithm Analysis and Problem Complexity, Programming Techniques