How can I optimize my Python code for better performance?
There are several ways to optimize Python code, such as using built-in functions, avoiding global variables, and utilizing list comprehensions.
Can you explain how list comprehensions help with performance?
List comprehensions are faster than traditional loops because they are optimized for performance and reduce the overhead of function calls.
What about using libraries like NumPy?
Using libraries like NumPy can significantly speed up numerical computations because they are implemented in C and optimized for performance.
Are there any tools to help analyze my code's performance?
Yes, tools like cProfile and line_profiler can help you analyze the performance of your Python code and identify bottlenecks.
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