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 mod

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.