Python Pytest: Writing Test Cases, Coverage Report, XML Files, and Visualising Tests

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In this video, I’ll guide you through everything you need to know about writing Python test cases using pytest. Whether you're new to testing or looking to enhance your skills, this video has you covered!

Here's what you'll learn:
How to write Python test cases using pytest: I'll show you step-by-step how to create and structure test cases for your Python code.

How to know or find what test cases to write: Unsure what test cases are necessary? I’ll share strategies to help you figure out which parts of your code should be tested and how to write effective tests.

How to generate a coverage report: Learn how to measure how much of your code is tested with coverage reports, and why they are crucial for improving the quality of your code.

How to create a coverage XML file: I’ll walk you through how to generate XML files from your coverage reports, a useful feature for integrating with CI/CD pipelines or reporting tools.

How to visualize test cases: Want to see your test cases in action? I’ll show you tools and techniques to visualize test execution and coverage for better insights.

How to run pytest-cov with pytest: Understand how to use pytest-cov to track your test coverage while running pytest.

Questions this video will answer:
How do I start writing test cases in Python using pytest?
What’s the best way to find which test cases to write for my code?
How do I generate a detailed coverage report for my tests?
How do I create an XML file from my coverage report?
What tools can I use to visualize my test coverage?
How can I integrate pytest-cov with pytest to measure test coverage?
By the end of this video, you’ll have all the knowledge you need to confidently write Python test cases, generate coverage reports, and visualize your tests. Whether you're a beginner or looking to level up your testing skills, this video will give you the tools you need!

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