This tutorial serves as a comprehensive guide for developers and researchers interested in creating an API for the Llama 2 language model, with multiprocessing support using Python.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

This project demonstrates how to compress multiple files in parallel using Python's multiprocessing module and three popular compression algorithms — gzip, bzip2, and xz. The goal is to reduce file ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications.

The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides primitives for splitting tasks across cores.