Date: Mar 24, 2024
Python's multithreading capabilities are limited by the Global Interpreter Lock (GIL), but can still provide performance benefits for I/O-bound tasks. Tips include using multiprocessing for CPU-bound tasks and avoiding shared memory between threads.
Date: Mar 25, 2024
The asyncio module in Python enables concurrent execution of code by running tasks asynchronously. It depends on factors like number of threads, nature of tasks, and settings.
Date: Mar 17, 2024
Async programming in Python allows code to execute out of order while waiting on long-running tasks like network I/O. Async speeds up I/O-bound workloads but can be slower for heavy CPU processing. Always profile before and after to validate.
Date: Mar 17, 2024
Multithreading in Python can improve performance and responsiveness. Choose the right model based on use case and tradeoffs. Options include threading, multiprocessing, and asyncio.
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