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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

Working with Python test frameworks

Python comes with standard as well as third-party libraries for test automation. The most popular frameworks are listed here:

  • pytest
  • unittest
  • doctest
  • nose

These frameworks can be used for unit testing as well as for integration and system testing. In this section, we will evaluate two of these frameworks: unittest, which is part of the Python standard library, and pytest, which is available as an external library. The focus of this evaluation will be on building test cases (mainly unit tests) using these two frameworks, although the integration and system tests can also be built using the same libraries and design patterns.

Before we start writing any test cases, it is important to understand what a test case is. In the context of this chapter and book, we can define a test case as a way of validating the outcomes of a particular behavior of a programming code as per the expected results. The development of a test case...

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