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Hunt A Beginners 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
Computer Science Department, 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
A Beginners Guide to Python 3 Programming
John Hunt Midmarsh Technology Ltd Chippenham Wiltshire UK ISSN 1863-7310 - photo 2
John Hunt
Midmarsh Technology Ltd, Chippenham, Wiltshire, UK
ISSN 1863-7310 e-ISSN 2197-1781
Undergraduate Topics in Computer Science
ISBN 978-3-030-20289-7 e-ISBN 978-3-030-20290-3
https://doi.org/10.1007/978-3-030-20290-3
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

This book was written for, and is dedicated to, my daughter Phoebe and son Adam; I could not be prouder of either of you.

Preface

There is currently huge interest in the Python programming language. This is driven by several factors; its use in schools with the Raspberry Pi platform, its ability to be used for DevOps scripts, its use in data science and machine learning and of course the language itself.

There are many books on Python, however, most assume previous programming experience or are focussed on particular aspects of Python use such as data science or machine learning or have a scientific flavor.

The aim of this book is to introduce Python to those with little or very little programming knowledge, and then to take them through to become an experienced Python developer.

As such the earlier parts of the book introduce fundamental concepts such as what a variable is and how a for loop works. In contrast, the later chapters introduce advanced concepts such as functional programming, object orientation, and exception handling.

In between a wide range of topics are introduced and discussed from a Python point of view including functions, recursion, operators, Python properties, modules and packages, protocols and monkey patching, etc.

After the core elements of Python are established, each new subject area is introduced by way of an introductory chapter presenting the topic in general, providing background on that subject, why it is of importance, etc. These introductions cover Structured Analysis, functional programming, and object orientation.

Some of the key aspects of this book are:

  1. It assumes very little knowledge or experience of Python or programming.

  2. It provides a basic introduction to Python as well as advanced topics such as generators and coroutines.

  3. This book provides extensive coverage of object orientation and the features in Python 3 supporting classes, inheritance, and protocols.

  4. Pythons support for functional programming is also presented.

  5. Following on from introducing the basic ideas behind functional programming, the book presents how advanced functional concepts such as closures, currying, and higher-order functions work in Python.

  6. The book includes exercises at the end of most chapters with online solutions.

  7. There are several case studies spread through the book that broaden understanding of preceding topics.

  8. All code examples (and exercise solutions) are provided online in a GitHub repository.

Chapter Organization

Each chapter has a brief introduction, the main body of the chapter, followed by a list of (typically) 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 learned in that chapter.

Sample solutions to the exercises are available in a GitHub online 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. So 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 that computer. At a minimum, you will need Python.

This book focusses on Python 3, so you will need that. Some guidance on this is provided in Chap. on setting up your environment.

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