Some modules are essential additions while others are handy so as not to have to manage dependencies.

Good example of the latter use case is the statistics module.

There is a price to pay though: its performance is 10x slower than numpy. So its mostly useful when the required calculation is not a bottleneck.

The benefit is you are good to go (batteries included) without any virtual environmemts, pip's etc.