How can I refactor my Python code for better performance?
To improve performance, you can start by identifying bottlenecks using profiling tools like cProfile.
What are some common bottlenecks in Python code?
Common bottlenecks include inefficient loops, excessive memory usage, and slow I/O operations.
Can you give me an example of refactoring a slow loop?
Sure! Instead of using a for loop to append to a list, consider using list comprehensions for better speed.
Are there any libraries that can help with performance?
Yes, libraries like NumPy and Cython can significantly enhance performance for numerical computations.
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