Concurrency in Python enhances program efficiency by allowing multiple tasks to run seemingly simultaneously. Python provides two main concurrency models: multithreading and multiprocessing. While multithreading is well-suited for I/O-bound tasks, multiprocessing enables true parallel execution for CPU-intensive operations. Understanding their differences, benefits, and limitations helps developers optimize performance based on specific use cases.
"Threads share, processes seperate."June 14, 2024