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Python for Geeks

You're reading from   Python for Geeks Build production-ready applications using advanced Python concepts and industry best practices

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Python, beyond the Basics
2. Chapter 1: Optimal Python Development Life Cycle FREE CHAPTER 3. Chapter 2: Using Modularization to Handle Complex Projects 4. Chapter 3: Advanced Object-Oriented Python Programming 5. Section 2: Advanced Programming Concepts
6. Chapter 4: Python Libraries for Advanced Programming 7. Chapter 5: Testing and Automation with Python 8. Chapter 6: Advanced Tips and Tricks in Python 9. Section 3: Scaling beyond a Single Thread
10. Chapter 7: Multiprocessing, Multithreading, and Asynchronous Programming 11. Chapter 8: Scaling out Python Using Clusters 12. Chapter 9: Python Programming for the Cloud 13. Section 4: Using Python for Web, Cloud, and Network Use Cases
14. Chapter 10: Using Python for Web Development and REST API 15. Chapter 11: Using Python for Microservices Development 16. Chapter 12: Building Serverless Functions using Python 17. Chapter 13: Python and Machine Learning 18. Chapter 14: Using Python for Network Automation 19. Other Books You May Enjoy

Summary

In this chapter, we introduced different levels of testing for software applications. We also evaluated two test frameworks (unittest and pytest) that are available for Python test automation. We learned how to build basic- and advanced-level test cases using these two frameworks. Later in the chapter, we introduced the TDD approach and its clear benefits for software development. Finally, we touched base on the topic of CI, which is a key step in delivering software using agile and development-operations (devops) models.

This chapter is useful for anyone who wants to start writing unit tests for their Python application. The code examples provided provide a good starting point for us to write test cases using any test framework.

In the next chapter, we will explore different tricks and tips for developing applications in Python.

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