Book Image

Learning Python Application Development

By : Ninad Sathaye
Book Image

Learning Python Application Development

By: Ninad Sathaye

Overview of this book

Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
Table of Contents (18 chapters)
Learning Python Application Development
Credits
Disclaimers
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


The chapter started by emphasizing the need for testing. It introduced you to the unit testing framework in Python. You learned how to write and execute unit tests. The next topic served as an introduction to Python mock library. The chapter demonstrated the use of Mock objects in unit tests. Next, it showed an example where it was difficult to write a unit test without refactoring the code first. At this point, you learned the basics of refactoring, refactored the code, and then developed a unit test for this example.

During development, you often encounter a recurring problem. Often, a general solution (or a recipe) exists that works for this problem. This is often referred to as a design pattern. In the next chapter, we will review a few commonly used design patterns in Python.