Python Test Automation with Pytest and GitHub Actions CI/CD: Build reliable Python tests and automate quality checks in CI/CD pipelines

Artem Istranin

€78.99

Video Aug 2026 11hrs 23mins 1st Edition

Artem Istranin

€78.99

Video Aug 2026 11hrs 23mins 1st Edition

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Key benefits

A complete pytest path from testing fundamentals to advanced automation and CI/CD workflows
Real-world Python examples connecting unit, integration, API, and coverage practices clearly
Practical progression through fixtures, mocking, parametrization, and GitHub Actions automation

Description

Reliable automated testing helps Python teams change growing codebases with confidence, reduce manual checks, and catch regressions before deployment. A practical strategy also supports cleaner design, safer refactoring, and consistent quality across development workflows. The learning path begins with testing fundamentals, pytest setup, test discovery, execution, and clear assertions. It advances through test classes, exception testing, Given-When-Then structure, fixtures, setup and teardown, conftest.py, output capture, mocking, and parametrization. Advanced topics include markers, configuration, code coverage, Hypothesis, Faker, testing levels, API testing, and pragmatic TDD and BDD. The final stage connects pytest to GitHub Actions for matrix testing, parallel execution, and coverage gates. Practical examples and coding challenges show how the techniques work in realistic Python projects. Learners gain the ability to create maintainable unit, integration, and API tests, isolate dependencies, debug failures, expand coverage efficiently, and run automated checks on every code change. By the end of this course, you will be able to build scalable Python test systems and integrate dependable testing into modern CI/CD workflows.

Who is this book for?

Designed for junior-to-senior Python developers, backend engineers, API developers, and engineers working with CI/CD pipelines who want stronger automated testing skills and more reliable code. Basic Python knowledge, including the ability to write functions and classes, is expected; prior experience with pytest or another testing framework is not required.