Python Testing with pytest - Write Reliable and Maintainable Code
Build reliable Python applications with maintainable, scalable pytest test suites
Created by Dave Hollingworth
Learn how to create reliable and maintainable Python applications by building effective automated test suites using pytest. You will discover how to organize tests, use fixtures, mock dependencies, and measure coverage for professional-quality code. Practical examples help you move from manual checks to efficient, automated testing workflows.
Packt | Aug 2026 | 78 min
What You Will Learn
You will start by setting up your environment and learning core pytest concepts. Each section introduces a new technique, such as structuring tests, using fixtures, parameterizing scenarios, and mocking dependencies. You will apply these skills through hands-on examples that mirror real-world Python development.
Key Features
- Write clear, maintainable tests and organize them for scalable Python projects
- Use fixtures and mocking to create reusable setups and isolate dependencies
- Measure code coverage and enforce quality standards in your testing process
Target Audience
This course is ideal for Python developers who are comfortable with basic programming and want to automate their testing process. It is especially useful if you are moving from manual checks to automated testing or want to adopt modern pytest practices for maintainable code and continuous integration. No prior experience with pytest is needed.
