For numbers with a decimal separator, by default Python uses float and Pandas uses numpy float64. Internally float types use a base 2 representation which is convenient for binary computers. Python's ...

I've been using my own implementation of a Decimal type -- maybe it should be included as a standard type? from graphene.types import Scalar from graphql.language import ast class Decimal(Scalar): """ ...

If you're tracking a multi-destination trip budget or analyzing fintech data, the standard `DataFrame.round()` method in pandas can silently introduce errors due to floating-point representation and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...