Please explain it naively, as I am a python naive

What do you mean? What is the context?

Naive approach or naive solution in math and computer science is sometimes taken to mean: straightforward attempt to solve solution. Itās sometimes shown as a preface to a proof to show what the methodology is that spurred a more sophisticated approach.

A common example is used when introduction proof by induction.

The naive approach is to notice a property (like a fibonacci sequence), generalize it, and call it a day. Upon further inspection you might realize that you need a proper base case (or 2 in this example) for the general formula to work.

My personal favorite āwrongā proof is all horses are the same color: All horses are the same color - Wikipedia

My first thought was that they were referring to the `datetime`

module, since itās what immediately comes to mind when thinking of āawareā or ānaiveā objects in Python.

The docs explain the difference pretty well in that caseā¦

I thought he could be talking about naive bayesā¦ hahaha. And I think the term naive is mentioned in some string slicing moduleā¦ hm I didnāt know this about `datetime`

thanks for the link!

Thatās definitely another possibilityā¦ guess weāll have to wait and see what the OP comes back with!