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Code coverage is a poor metric for indicating whether or not your code has been tested well. Instead, we should invert the metric, and use the term “Legacy Code”.

Learn the art of developing a compelling demo project to highlight your coding abilities. This comprehensive guide covers the importance of simplicity, covering multiple aspects of application development, generating creative ideas, creating mockups, setting up a code repository, effective communication through README files, and the significance of code quality checks, continuous integration, deployment, and testing. Explore examples of successful demo projects for inspiration.

Don't mix your train of thought: Improve your Python code's readability and scoping by avoiding entanglements. Learn how to move related code close together, extract methods, and refactor effectively. Address common problems and enhance your Python programming skills for better code structure and maintainability.

This article delves into the importance of code quality, documentation, and UI development in the creation of the FVA Software. It explores the use of automated tools, manual code review, and Python checks to ensure code adherence. The significance of clear code documentation for both C++ and Python is emphasized. The transition from QWidgets to QML for UI implementation is discussed, along with the...