Modular Programming with Python
eBook - ePub

Modular Programming with Python

  1. 246 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Modular Programming with Python

About this book

Introducing modular techniques for building sophisticated programs using Python

About This Book

  • The book would help you develop succinct, expressive programs using modular deign
  • The book would explain best practices and common idioms through carefully explained and structured examples
  • It will have broad appeal as far as target audience is concerned and there would be take away for all beginners to Python

Who This Book Is For

This book is intended for beginner to intermediate level Python programmers who wish to learn how to use modules and packages within their programs. While readers must understand the basics of Python programming, no knowledge of modular programming techniques is required.

What You Will Learn

  • Learn how to use modules and packages to organize your Python code
  • Understand how to use the import statement to load modules and packages into your program
  • Use common module patterns such as abstraction and encapsulation to write better programs
  • Discover how to create self-testing Python packages
  • Create reusable modules that other programmers can use
  • Learn how to use GitHub and the Python Package Index to share your code with other people
  • Make use of modules and packages that others have written
  • Use modular techniques to build robust systems that can handle complexity and changing requirements over time

In Detail

Python has evolved over the years and has become the primary choice of developers in various fields. The purpose of this book is to help readers develop readable, reliable, and maintainable programs in Python.

Starting with an introduction to the concept of modules and packages, this book shows how you can use these building blocks to organize a complex program into logical parts and make sure those parts are working correctly together.

Using clearly written, real-world examples, this book demonstrates how you can use modular techniques to build better programs. A number of common modular programming patterns are covered, including divide-and-conquer, abstraction, encapsulation, wrappers and extensibility. You will also learn how to test your modules and packages, how to prepare your code for sharing with other people, and how to publish your modules and packages on GitHub and the Python Package Index so that other people can use them. Finally, you will learn how to use modular design techniques to be a more effective programmer.

Style and approach

This book will be simple and straightforward, focusing on imparting learning through a wide array of examples that the readers can put into use as they read through the book. They should not only be able to understand the way modules help in improving development, but they should also be able to improvise on their techniques of writing concise and effective code.

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Information

Modular Programming with Python


Table of Contents

Modular Programming with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
eBooks, discount offers, and more
Why subscribe?
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Introducing Modular Programming
Introducing Python modules
Introducing Python packages
Using modules and packages to organize a program
Why use modular programming techniques?
Programming as a process
The Python Standard Library
Creating your first module
Caching
Writing a cache module
Using the cache
Summary
2. Writing Your First Modular Program
The inventory control system
Designing the inventory control system
The data storage module
The user interface module
The report generator module
The main program
Implementing the inventory control system
Implementing the data storage module
Implementing the user interface module
Implementing the report generator module
Implementing the main program
Summary
3. Using Modules and Packages
Modules and packages
Packages within packages
Initializing a module
Initialization functions
Initializing a package
How to import anything
What does the import statement actually do?
Using the import statement
Relative imports
Controlling what gets imported
Circular dependencies
Running modules from the command line
Summary
4. Using Modules for Real-World Programming
Introducing Charter
Designing Charter
Implementing Charter
Implementing the chart.py module
Implementing the generator.py module
The Pillow library
Renderers
Testing the code
Rendering the title
Rendering the x axis
The remaining renderers
Testing Charter
The fly in the ointment – changing requirements
Redesigning Charter
Refactoring the code
Implementing the PDF renderer modules
Testing the code
Lessons learned
Summary
5. Working with Module Patterns
Divide and conquer
Abstraction
Encapsulation
Wrappers
Extensible modules
Dynamic imports
Plugins
Hooks
Summary
6. Creating Reusable Modules
Using modules and packages to share your code
What makes a module reusable?
Functioning as a standalone unit
Using relative imports
Noting external dependencies
What makes a good reusable module?
Solving a general problem
Following standard conventions
Having clear documentation
Examples of reusable modules
requests
python-dateutil
lxml
Designing a reusable package
Implementing a reusable package
Testing our reusable package
Summary
7. Advanced Module Techniques
Optional imports
Local imports
Tweaking imports using sys.path
Import gotchas
Using an existing name for your module or package
Naming a Python script after a module or package
Adding package directories to sys.path
Executing and importing the same module
Using modules and packages with the Python interactive interpreter
Dealing with global variables
Package configuration
Package data
Summary
8. Testing and Deploying Modules
Testing modules and packages
Testing with the unittest Standard Library module
Designing your unit tests
Code coverage
Test-driven development
Mocking
Writing unit tests for your modules and packages
Preparing a module or package for publication
Uploading your work to GitHub
Submitting to the Python Package Index
Using pip to download and install modules and packages
Summary
9. Modular Programming as a Foundation for Good Programming Technique
The process of programming
The inevitable changes
Change management
Dealing with complexity
Being an effective programmer
Summary
Index

Modular Programming with Python

Copyright © 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: May 2016
Production reference: 1200516
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-448-1
www.packtpub.com

Credits

Author
Erik Westra
Reviewer
Mike Driscoll
Commissioning Editor
Priya Singh
Acquisition Editor
Dharmesh Parmar
Content Development Editor
Arun Nadar
Technical Editor
Rupali Shrawane
Copy Editor
Sonia Cheema
Project Coordinator
Nikhil Nair
Proofreader
Safis Editing
Indexer
Hemangini Bari
Graphics
Disha Haria
Production Coordinator
Arvindkumar Gupta
Cover Work
Arvindkumar Gupta

About the Author

Erik Westra has been a professional software developer for over 25 years, and has worked almost exclusively in Python for the past decade. Erik's early interest in graphical user interface design led to the development of one of the most advanced urgent courier dispatch systems used by messenger and courier companies worldwide. In recent years, Erik has been involved in the design and implementation of systems matching seekers and providers of goods and services across a range of geographical areas, as well as real-time messaging and payments systems. This work has included the creation of real-time geocoders and map-based views of constantly changing data. Erik is based in New Zealand, and works for companies worldwide.
Erik is also the author of the Packt titles Python Geospatial Development, Python Geospatial Analysis, and Building Mapping Applications with QGIS.

About the Reviewer

Mike Driscoll has been programming in Python since 2006. He enjoys writing about Python on his blog at http://www.blog.pythonlibrary.org/. He co-authored the Core Python Refcard for DZone. Mike has also been a technical reviewer for Python 3 Object Oriented Programming, Python 2.6 Graphics Cookbook, Tkinter GUI Application Development Hotshot, and several others. He recently wrote the book Python 101, and is working on his next book.

www.PacktPub.com

eBooks, discount offers, and more

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Table of contents

  1. Modular Programming with Python

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