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Concurrency and Parallelism in Python – Threads, Multiprocessing, and Async Programming
Modern applications often need to perform multiple tasks simultaneously to improve efficiency. Python provides three primary ways to achieve this: ✅ Threads – Lightweight tasks running in the same process ✅ Multiprocessing – Running tasks in parallel using multiple CPU cores ✅ Async Programming – Handling I/O-bound operations efficiently Understanding when and how to use these techniques will help you write more efficient Python programs. Let’s dive in!
Modern applications often need to perform multiple tasks simultaneously to improve efficiency. Python provides three primary ways to achieve this:
✅ Threads – Lightweight tasks running in the same process
✅ Multiprocessing – Running tasks in parallel using multiple CPU cores
✅ Async Programming – Handling I/O-bound operations efficiently
Understanding when and how to use these techniques will help you write more efficient Python programs. Let’s dive in!
