The book covers 15 essential testing categories including unit testing with pytest, API testing, UI automation, database testing, performance testing with Locust, security testing, and accessibility testing. Each chapter provides detailed explanations of testing concepts, practical Python code examples, and implementation strategies using modern tools and frameworks.
What sets this book apart is its practical approach, with each topic including hands-on exercises that reinforce learning. The book also emphasizes integration with CI/CD pipelines, showing readers how to implement continuous testing practices using GitHub Actions, Jenkins, and Docker. Advanced topics like property-based testing with Hypothesis, mutation testing, and AI-assisted testing provide cutting-edge techniques for quality-focused teams.
Whether you're a developer looking to improve testing skills or a QA professional transitioning to Python, this book provides
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