Web Reference: Oct 3, 2025 · Multithreading in Python allows multiple threads (smaller units of a process) to run concurrently, enabling efficient multitasking. It is especially useful for I/O-bound tasks like file handling, network requests, or user interactions. 5 days ago · The modules described in this chapter provide support for concurrent execution of code. The appropriate choice of tool will depend on the task to be executed (CPU bound vs IO bound) and preferred style of development (event driven cooperative multitasking vs preemptive multitasking). In this tutorial, you'll explore concurrency in Python, including multi-threaded and asynchronous solutions for I/O-bound tasks, and multiprocessing for CPU-bound tasks.
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