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Undergraduate Topics in Computer Science
Kent D. Lee
Steve Hubbard
Data
Structures and
Algorithms
with Python
Undergraduate Topics in Computer
Science
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Undergraduate Topics in Computer Science (UTiCS) delivers high-quality
instructional content for undergraduates studying in all areas of computing and
information science. From core foundational and theoretical material to
final-year
topics and applications, UTiCS books take a fresh, concise, and modern approach
and are ideal for self-study or for a one- or two-semester course. The texts are all
authored by established experts in their
fields,
reviewed by an international advisory
board, and contain numerous examples and problems. Many include fully worked
solutions.
More information about this series at http://www.springer.com/series/7592
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Kent D. Lee Steve Hubbard
Data Structures and
Algorithms with Python
123
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Kent D. Lee
Steve Hubbard
Luther College
Decorah, IA
USA
Series editor
Ian Mackie
Advisory Board
Samson Abramsky, University of Oxford, Oxford, UK
Karin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Chris Hankin, Imperial College London, London, UK
Dexter Kozen, Cornell University, Ithaca, USA
Andrew Pitts, University of Cambridge, Cambridge, UK
Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark
Steven Skiena, Stony Brook University, Stony Brook, USA
Iain Stewart, University of Durham, Durham, UK
ISSN 1863-7310
ISBN 978-3-319-13071-2
DOI 10.1007/978-3-319-13072-9
ISSN 2197-1781 (electronic)
ISBN 978-3-319-13072-9 (eBook)
Library of Congress Control Number: 2014953918
Springer Cham Heidelberg New York Dordrecht London
©
Springer International Publishing Switzerland 2015
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of
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