Best way(s) to enhance Pandas/CPU bound performance in Streamlit

Hi guys,

There are usually several ways to boost CPU bound operations in Python, such as:

I was just wondering whether any was preferred when using Streamlit? (especially for data wrangling on large tabular/Pandas-like data).

Thanks,
Charly

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@randyzwitch: I remember you mentioned that Numba which was fine on your local machine yet crashing in Streamlit Sharing.

Did you manage to fix it?

Charly

It hasn’t happened for a while, so I have no reason to believe it doesn’t work well on Streamlit sharing

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