How to Enhance Your Python Code With Concurrency and Parallelism

MakeUseOf

By Princewill Inyang

Published Oct 27, 2023

Use these techniques to run code simultaneously and provide a smoother user experience.

Concurrency and parallelism are fundamental principles of task execution in computing, with each having its distinct characteristics.
Concurrency allows for efficient resource utilization and improved responsiveness of applications, while parallelism is crucial for optimal performance and scalability.
Python provides options for handling concurrency, such as threading and asynchronous programming with asyncio, as well as parallelism using the multiprocessing module.