Clean Code by Robert C. Martin, is a handbook for software developers that introduces design principles and ideas for clean code. This repository focuses on the principles introduced in the book, with ...

For example, you can use a histogram to check if your data cleaning code has created any gaps or spikes in the frequency distribution of a variable. You can use libraries like matplotlib or ...

In theory, any Python code is OK as long as it’s syntactically correct and runs as intended. In practice, you want to adopt a consistent style across your projects, preferably one guided by ...

Writing clean Python code is essential for readability and maintenance. Use meaningful variable names for clearer, more understandable code. Follow the PEP 8 style guide to keep your projects ...

Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.