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Python Testing with pytest - Write Reliable and Maintainable Code
Python Testing with pytest - Write Reliable and Maintainable Code

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

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Profile Icon Dave Hollingworth
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zł241.99
Video Aug 2026 1hr 18mins 1st Edition
Video
zł241.99
Video + Subscription
Free Trial
Arrow left icon
Profile Icon Dave Hollingworth
Arrow right icon
zł241.99
Video Aug 2026 1hr 18mins 1st Edition
Video
zł241.99
Video + Subscription
Free Trial
Video
zł241.99
Video + Subscription
Free Trial

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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.

What you will learn

  • Write clear, maintainable tests with pytest
  • Organise scalable test suites for Python projects
  • Build reusable setup and teardown with fixtures
  • Parameterise tests to cover multiple scenarios
  • Mock dependencies and verify different execution paths
  • Measure and enforce code coverage standards

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Sep 03, 2026
Publication date : Aug 20, 2026
Length: 1hr 18mins
Edition : 1st
Language : English
ISBN-13 : 9781808768712
Category :

What do you get with a Packt Premium Subscription?

Subscribe today for full access to all titles. After checkout, you’ll receive an eBook credit that you can manually redeem on any title — including this one.
Product feature icon Access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon Weekly additions on emerging tech and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon A monthly credit and 50% off any future digital purchases.

Product Details

Last updated date : Sep 03, 2026
Publication date : Aug 20, 2026
Length: 1hr 18mins
Edition : 1st
Language : English
ISBN-13 : 9781808768712
Category :

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Table of Contents

7 Chapters
Introduction and Setup Chevron down icon Chevron up icon
Testing Basics: Getting Started with pytest Chevron down icon Chevron up icon
Fixtures: Reusable Test Setup and Teardown Chevron down icon Chevron up icon
Markers: Parameterisation, Skipping, and Expected Failures Chevron down icon Chevron up icon
Mocking: Replacing Dependencies in Tests Chevron down icon Chevron up icon
Generating and Interpreting Coverage Reports Chevron down icon Chevron up icon
Conclusion Chevron down icon Chevron up icon
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