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 looked at a number of the more advanced aspects of working with modules and packages in Python. We saw how a try..except statement can be used to implement optional imports, and how an import statement can be placed inside a function so that the module only gets imported when that function is executed. We then learned about the module search path and how you can modify sys.path to change the way the Python interpreter looks for modules and packages.

We then looked at some of the gotchas related to the use of modules and packages. We learned about name masking, where you define a module or package with the same name as a module or package in the Python Standard Library, which can lead to unexpected failures. We looked at how giving a Python script the same name as a Standard Library module can also cause name masking problems, and how adding a package directory or sub-directory to sys.path can cause a module to be loaded twice, leading to subtle problems with global...