How can I optimize my Python code for better performance?
There are several techniques you can use, such as using built-in functions, optimizing loops, and leveraging libraries like NumPy.
What are some common performance bottlenecks in Python?
Common bottlenecks include inefficient algorithms, excessive memory usage, and slow I/O operations.
Can you explain how to use profiling tools in Python?
Sure! You can use tools like cProfile and line_profiler to identify slow parts of your code and optimize them.
Are there any specific libraries that can help with performance?
Yes, libraries like NumPy for numerical computations and Cython for compiling Python to C can significantly improve performance.
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