But as the person who needs to load up some data and do some transformations, this article gives me very little information about why I should switch from pandas.
But I am excited to hear about new solutions in the data frame space!
But as the person who needs to load up some data and do some transformations, this article gives me very little information about why I should switch from pandas.
But I am excited to hear about new solutions in the data frame space!
Vaex is stupid fast at all the data operations it supports to the point where I've used in it in place of a database for an API.
Indeed, for small data there is not much to gain, at least this is not the focus of this article. Although even with small amounts of the, the automatic pipelines are useful https://vaex.io/blog/ml-impossible-train-a-1-billion-sample-...
Does it make things hard that was easy in pandas or does it make things that are hard in pandas easy?
At the time, I had issues with some string operations, though it appears with v4.0 that may no longer be the case.