How can I improve the performance of my Python code?
You can use libraries like NumPy for numerical computations, and Cython to compile Python to C for speed.
What about using multiprocessing or threading?
Yes, using the multiprocessing library can help you utilize multiple CPU cores, while threading is useful for I/O-bound tasks.
Are there any specific libraries for data manipulation?
Pandas is a great library for data manipulation and analysis, and it can significantly speed up your data processing tasks.
How do I profile my code to find bottlenecks?
You can use the cProfile module to profile your code and identify performance bottlenecks.
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