Repeated sampling for Bootstraping

[AdaemmerP]

Description

I’m wondering if Polars for Python can offer an equivalent to the rep_sample_n function from the moderndive package in R. In moderndive, rep_sample_n allows you to take repeated random samples of a specified size from a data frame, which is very useful for bootstrapping and resampling tasks.

For example:

rep_sample_n(data, size = 10, reps = 100, replace = TRUE)

This would generate 100 samples, each containing 10 observations from data, sampled with replacement.

Thanks for the amazing package!