Data Structures and Algorithms with Python
Authors: Lee, Kent D., Hubbard, Steve
Free Preview- 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
Buy this book
- About this Textbook
-
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.
- 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.
- Table of contents (20 chapters)
-
-
Python Programming 101
Pages 1-40
-
Computational Complexity
Pages 41-65
-
Recursion
Pages 67-90
-
Sequences
Pages 91-138
-
Sets and Maps
Pages 139-161
-
Table of contents (20 chapters)
- Download Preface 1 PDF (48.7 KB)
- Download Sample pages 2 PDF (682 KB)
- Download Table of contents PDF (175.5 KB)
- Additional Information
Buy this book
Services for this Book
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Data Structures and Algorithms with Python
- Authors
-
- Kent D. Lee
- Steve Hubbard
- Series Title
- Undergraduate Topics in Computer Science
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-13072-9
- DOI
- 10.1007/978-3-319-13072-9
- Softcover ISBN
- 978-3-319-13071-2
- Series ISSN
- 1863-7310
- Edition Number
- 1
- Number of Pages
- XV, 363
- Number of Illustrations
- 8 b/w illustrations, 139 illustrations in colour
- Topics
