How can I improve the performance of my Python code?

How can I improve the performance of my Python code?

There are several ways to improve Python performance, such as optimizing algorithms, using built-in functions, and leveraging libraries like NumPy.

What are some specific techniques I can use?

You can use techniques like list comprehensions, avoiding global variables, and using generators instead of lists for large datasets.

Are there any tools to help analyze performance?

Yes, tools like cProfile, line_profiler, and memory_profiler can help you analyze and identify bottlenecks in your code.

How can I use NumPy to speed up my calculations?

NumPy allows for vectorized operations, which can significantly speed up calculations by performing operations on entire arrays instead of element by element.