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Undergraduate Topics in Computer Science

John Hunt

Advanced Guide to Python 3 Programming

Undergraduate Topics in Computer Science

Series Editor

Ian Mackie, University of Sussex, Brighton, UK

Advisory Editors

Samson Abramsky, Department of Computer Science, University of Oxford, Oxford, UK

Chris Hankin, Department of Computing, Imperial College London, London, UK Dexter C. Kozen, Department of Computer Science, Cornell University, Ithaca, NY, USA

Andrew Pitts, University of Cambridge, Cambridge, UK

Hanne Riis Nielson, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark

Steven S. Skiena, Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

Iain Stewart, Department of Computer Science, Science Labs, University of Durham, Durham, UK

Mike Hinchey, University of Limerick, Limerick, Ireland

‘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 of which include fully worked solutions.

The UTiCS concept relies on high-quality, concise books in softback format, and generally a maximum of 275–300 pages. For undergraduate textbooks that are likely to be longer, more expository, Springer continues to offer the highly regarded Texts in Computer Science series, to which we refer potential authors.

More information about this series at http://www.springer.com/series/7592

John Hunt

Advanced Guide to Python 3 Programming

1 3

John Hunt Marshfield

Midmarsh Technology Ltd. Chippenham, Wiltshire, UK

ISSN 1863-7310 ISSN 2197-1781 (electronic)

Undergraduate Topics in Computer Science

ISBN 978-3-030-25942-6 ISBN 978-3-030-25943-3 (eBook)

https://doi.org/10.1007/978-3-030-25943-3

© Springer Nature Switzerland AG 2019

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