Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

Resource loading optimization is the first step in improving frontend performance, and the Python backend plays a key role as the "resource scheduler". For static resources (CSS, JS, images), ...

The vast majority of Cython functions are now exposed in pure Python mode, including functions for calling external C libraries. Another major area of improvement is NumPy support.