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Understanding Threads and Multithreading in Python: A Playful Guide
- Threads allow for concurrent task execution, improving efficiency in Python programs.
- Threads share memory space, making them lightweight and ideal for tasks that need to share data or resources.
- Python's Global Interpreter Lock (GIL) limits true parallel execution in CPU-bound tasks.
- Understanding when to use threads versus processes is key to optimizing performance in Python programs.
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