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 saw that the ways in which modules and packages are used tend to follow standard patterns. We examined the divide-and-conquer pattern, which is the process of breaking a problem down into smaller parts, and saw how this technique both helps to structure your programs and clarify your thinking about the problem you are trying to solve.

We next looked at the abstraction pattern, which is the process of hiding complexity by separating what you want to do from how to do it. We then examined the notion of encapsulation, which is where you store data about something but hide the details of how that data is represented from the rest of the system, and use getter and setter functions to provide access to that data.

We then turned to the concept of wrappers, and saw how wrappers can be used to simplify the interface to a complex or confusing API, to convert data formats, to implement cross-language compatibility, and to add testing and error-checking code to an existing...