Book Image

Python Unlocked

By : Arun Tigeraniya
Book Image

Python Unlocked

By: Arun Tigeraniya

Overview of this book

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.
Table of Contents (15 chapters)
Python Unlocked
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


Testing is very important in creating a stable application. In this chapter, we discussed how we mock the objects to create an easy separation on concerns to test different components. Parameterization is very useful to test various transformation logics. The most important take away is to try to create functionalities that are needed by your project as test utilities. Try to stick with the unittest module. Use other libraries for parallel execution as they support the unittest tests as well.

In the next chapter, we will cover optimization techniques for Python.