Multiprocessing in python

This repository provides a comprehensive guide to Parallel Programming in Python, focusing on multi-threading and multiprocessing techniques. Please feel free to use the code from this repo for your applications.

Contents:

1. Parallel Programming in Python
2. Multi-threading (shared memory parallelism)
3. Multiprocessing (Distributed-memory parallelism)
   • Process Class
   • Pool Class
     • Synchronous calls
       • pool.Apply()
       • pool.Map()
       • pool.Starmap()
     • Asynchronous calls
       • pool.Apply_async()
       • pool.Map_async()
       • pool.Starmap_async()
       • pool.imap()
       • pool.imap_unordered()
   • Process-to-Process communication
     • Pipes

All the theory and collection of code is documented on the notebook Multiprocessing.ipynb. However, individual python files for each of the subsection too, incase you just want to go through code for only that topic.

Contributions: Contributions to this repository are welcome! If you have any ideas, improvements, or new topics related to parallel programming in Python, feel free to submit a pull request. Let's make this resource even better!