Speed Up Your Python Program With Concurrency
Concurrency refers to the ability of a program to manage multiple tasks at once, improving performance and responsiveness. It encompasses different models like threading, asynchronous tasks, and multiprocessing, each offering unique benefits and trade-offs. In Python, threads and asynchronous tasks facilitate concurrency on a single processor, while multiprocessing allows for true parallelism by utilizing multiple CPU cores.
Understanding concurrency is crucial for optimizing programs, especially those that are I/O-bound or CPU-bound. Efficient concurrency management can significantly enhance a program’s performance by reducing wait times and better utilizing system resources.
To get the most out of this tutorial, you should be familiar with Python basics, including functions and loops. A rudimentary understanding of system processes and CPU operations will also be