Python Testing with pytest - Write Reliable and Maintainable Code: Build reliable Python applications with maintainable, scalable pytest test suites

Dave Hollingworth

€44.99

Video Aug 2026 1hr 18mins 1st Edition

Dave Hollingworth

€44.99

Video Aug 2026 1hr 18mins 1st Edition

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Key benefits

Practical pytest workflow for reliable applications, from first tests through CI configuration
Reusable fixtures and mocking patterns that reduce duplication and isolate dependencies cleanly
Coverage-driven testing practices for finding gaps and enforcing dependable quality standards

Description

Automated testing gives Python developers a repeatable way to catch defects early, refactor with confidence, and maintain dependable applications. Pytest supports this work with clear syntax and scalable features that reduce boilerplate while accommodating professional testing needs. The learning path begins with environment setup, testing fundamentals, and well-focused test functions. It then develops a structured workflow for organising test files, checking exceptions, and using fixtures for reusable setup and teardown. Further lessons cover parameterisation, skipping, expected failures, custom markers, dependency isolation with monkeypatch, MagicMock, patch, and pytest-mock, plus line and branch coverage with pytest-cov. Configuration practices connect these techniques to maintainable projects and CI pipelines. Practical examples demonstrate how each feature fits into real Python development, helping learners replace manual checks with an efficient automated process. The emphasis on test isolation, reusable techniques, coverage standards, and project configuration supports code that is easier to change and verify. By the end of this course, you will be able to write, organise, run, and maintain pytest test suites for reliable Python applications.

Who is this book for?

Python developers who understand basic functions, modules, command-line use, and software installation will benefit most. It also suits programmers moving from manual checks to automated testing, as well as developers seeking modern pytest practices for maintainable applications and CI workflows. No prior pytest or testing-framework experience is required.