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), ...

Why making Python faster isn’t easy Python’s performance has little to do with being an interpreted language, as opposed to one compiled ahead of time to native machine code.

Learn how to install and set up Visual Studio Code for Python development with this easy step-by-step guide. Perfect for beginners and seasoned developers!

The asyncio package has also seen a number of performance improvements, with some benchmarks showing a 75% speed up. Python 3.12 Python 3.12 introduces the concept of Immortal objects.

The developers behind Cython, the Python library for compiling Python code to C, have at last released Cython 3.0 after many years of development and refinement.