How can I optimize my Python code for better performance?

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. What specific areas are you looking to improve?

I'm working with a large dataset and my code is running really slow.

For large datasets, consider using libraries like NumPy or Pandas, which are optimized for performance. You can also look into using generators to handle data more efficiently.

Can you give me an example of using NumPy for optimization?

Sure! Instead of using a for loop to sum elements in a list, you can use NumPy's sum function, which is much faster. Here's a quick example: import numpy as np; total = np.sum(your_array).

What about memory usage? Any tips?

To reduce memory usage, try using data types that consume less memory, like float32 instead of float64, and consider using memory-mapped files for large datasets.