The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental.

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

The most important method is fp.register() (or register_subprocess if you prefer to be more verbose), which allows defining the fake processes behavior. The fp fixture provides context() method that ...

This repo contains a variety of standalone examples using the MLX framework. The MNIST example is a good starting point to learn how to use MLX. Some more useful examples are listed below. Check-out ...