Uploaded July 2026 | Updated September 2026, 2 weeks ago

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This is a preview of the video course, "Managing and Measuring Python Code Quality". Producing high-quality Python code involves using appropriate tools and consistently applying best practices. High-quality code is functional, readable, maintainable, efficient, and secure. It adheres to established standards and has excellent documentation.

You can achieve these qualities by following best practices such as descriptive naming, consistent coding style, modular design, and robust error handling. To help you with all this, you can use tools such as linters, formatters, and profilers.

This is a portion of the complete course, which you can find here: realpython.com/courses/managing-and-measuring-python-code-quality

And the original text tutorial is here: realpython.com/python-code-quality

The rest of the course covers:
- Exercise: Validate an Average Order Value
- Readability
- Efficiency
- Reusability
- Coding Challenge
- Exercise: Find Duplicates With Counter
- Avoiding Security Mistakes
- Checking Code Quality
- Managing and Measuring Python Code Quality (Quiz)



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