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
About the Author
About the Reviewer


In this chapter, we introduced the concept of Python modules and saw how Python modules are simply Python source files, which are imported and used by another source file. We then took a look at Python packages and saw that these are collections of modules identified by a package initialization file named

We explored how modules and packages can be used to organize your program's source code and why the use of these modular techniques is so important for the development of large systems. We also explored what spaghetti code looks like and discovered some of the other pitfalls that can occur if you don't modularize your programs.

Next, we looked at programming as a process of constant change and evolution and how modular programming can help deal with a changing codebase in the best possible way. We then learned that the Python Standard Library is an excellent example of a large collection of modules and packages, and finished by creating our own simple Python module that demonstrates effective modular programming techniques. In implementing this module, we learned how a module can use leading underscores in variable and function names to mark them as private to the module, while making the remaining functions and other definitions available for other parts of the system to use.

In the next chapter, we will apply modular techniques to the development of a more sophisticated program consisting of several modules working together to solve a more complex programming problem.