What are the best practices for creating Python extensions?

What are the best practices for creating Python extensions?

When creating Python extensions, it's important to follow best practices like using Cython for performance, keeping the API simple, and ensuring proper memory management.

Can you explain why using Cython is beneficial?

Cython allows you to write C extensions for Python in a syntax that is very similar to Python, which can significantly improve performance while maintaining readability.

What should I consider for memory management in extensions?

You should ensure that you properly manage memory allocation and deallocation, avoid memory leaks, and use reference counting to manage object lifetimes.

Are there any tools to help with testing Python extensions?

Yes, tools like pytest and unittest can be used to test Python extensions, along with CMock for C code.

What common mistakes should I avoid when developing extensions?

Common mistakes include neglecting error handling, not following Python's GIL rules, and failing to document the extension properly.