How can I optimize threading in Python?
To optimize threading in Python, consider using the threading
module effectively, managing thread pools, and minimizing context switching.
What are some common pitfalls when using threads?
Common pitfalls include race conditions, deadlocks, and excessive context switching. Always ensure proper synchronization.
Can you explain how to use the concurrent.futures
module?
Sure! The concurrent.futures
module provides a high-level interface for asynchronously executing callables using threads or processes.
How do I measure the performance of my threaded application?
You can use the time
module to measure execution time or profiling tools like cProfile
to analyze performance bottlenecks.
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