Book Image

Modular Programming with Python

By : Erik Westra
Book Image

Modular Programming with Python

By: Erik Westra

Overview of this book

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.
Table of Contents (16 chapters)
Modular Programming with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


In this chapter, we learned about the various ways in which you can test your Python modules and packages. We learned about unit testing and how the unittest package in the Python Standard Library makes it easier to write and use unit tests for the modules and packages that you develop. We saw how unit tests use the assert statement (or the various assertXXX() methods if you are using the unittest.TestCase class) to raise an AssertionError if a particular condition has not been met. By writing various unit tests, you can ensure that your modules and packages are working the way you expect them to.

We then looked at the process of preparing a module or package for publication, and saw how GitHub provides an excellent repository for storing and managing the source code for your modules and packages.

After creating our own test package, we worked through the process of submitting this package to the Python Package Index. Finally, we learned how to use pip, the Python Package Manager,...