Which library should I use for data analysis: NumPy or Pandas?

I'm trying to decide between using NumPy and Pandas for my data analysis project. Which one should I choose?

It depends on your specific needs. NumPy is great for numerical computations and working with arrays, while Pandas is better for data manipulation and analysis with its DataFrame structure.

Can you give me an example of when to use each?

Sure! Use NumPy when you need to perform mathematical operations on large datasets efficiently. Use Pandas when you need to handle structured data, like CSV files, and perform operations like filtering or grouping.

What about performance? Is one faster than the other?

NumPy is generally faster for numerical operations due to its optimized C backend. However, for data manipulation tasks, Pandas is optimized for performance as well, especially with larger datasets.

Are there any scenarios where I would need to use both?

Yes, many data analysis tasks benefit from using both. You can use NumPy for heavy numerical computations and then use Pandas to organize and analyze the results.