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John Hunt - Advanced Guide to Python 3 Programming

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John Hunt Advanced Guide to Python 3 Programming
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Undergraduate Topics in Computer Science Series Editor Ian Mackie University - photo 1
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 275300 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
John Hunt Marshfield Midmarsh Technology Ltd Chippenham Wiltshire UK - photo 2
John Hunt
Marshfield, Midmarsh Technology Ltd., Chippenham, Wiltshire, UK
ISSN 1863-7310 e-ISSN 2197-1781
Undergraduate Topics in Computer Science
ISBN 978-3-030-25942-6 e-ISBN 978-3-030-25943-3
https://doi.org/10.1007/978-3-030-25943-3
Springer Nature Switzerland AG 2019
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

For Denise, my wife.

Preface

Some of the key aspects of this book are:

  1. It assumes knowledge of Python 3 and of concepts such as functions, classes, protocols, Abstract Base Classes, decorators, iterables, collection types (such as List and Tuple) etc.

  2. However, the book assumes very little knowledge or experience of the topics presented.

  3. The book is divided into eight topic areas; Computer graphics, Games, Testing, File Input/Output, Database Access, Logging, Concurrency and Parallelism and Network Programming.

  4. Each topic in the book has an introductory chapter followed by chapters that delve into that topic.

  5. The book includes exercises at the end of most chapters.

  6. All code examples (and exercise solutions) are provided on line in a GitHub repository.

Chapter Organisation

Each chapter has a brief introduction, the main body of the chapter, followed by a list of online references that can be used for further reading.

Following this there is typically an Exercises section that lists one or more exercises that build on the skills you will have learnt in that chapter.

Sample solutions to the exercises are available in a GitHub repository that supports this book.

What You Need

You can of course just read this book; however following the examples in this book will ensure that you get as much as possible out of the content.

For this you will need a computer.

Python is a cross platform programming language and as such you can use Python on a Windows PC, a Linux Box or an Apple Mac etc. This means that you are not tied to a particular type of operating system; you can use whatever you have available.

However you will need to install some software on your computer. At a minimum you will need Python. The focus of this book is Python 3 so that is the version that is assumed for all examples and exercises. As Python is available for a wide range of platforms from Windows, to Mac OS and Linux; you will need to ensure that you download the version for your operating system.

Python can be downloaded from the main Python web site which can be found at http://www.python.org .
You will also need some form of editor in which to write your programs There - photo 3

You will also need some form of editor in which to write your programs. There are numerous generic programming editors available for different operating systems with VIM on Linux, Notepad++ on Windows and Sublime Text on Windows and Macs being popular choices.

However, using a IDE (Integrated Development Environment) editor such as PyCharm can make writing and running your programs much easier.

However, this book doesnt assume any particular editor, IDE or environment (other than Python 3 itself).

Python Versions

Currently there are two main versions of Python called Python 2 and Python 3.

  • Python 2 was launched in October 2000 and has been, and still is, very widely used.

  • Python 3 was launched in December 2008 and is a major revision to the language that is not backward compatible.

The issues between the two versions can be highlighted by the simple print facility:
  • In Python 2 this is written as print Hello World

  • In Python 3 this is written as print (Hello World)

It may not look like much of a difference but the inclusion of the () marks a major change and means that any code written for one version of Python will probably not run on the other version. There are tools available, such as the 2to3 utility, that will (partially) automate translation from Python 2 to Python 3 but in general you are still left with significant work to do.

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