pandas-flavor: a #Python package for integrating custom functions into the pandas DataFrame interface. #programming #DataSciencehttps://t.co/cyb5pDonQh— Randy Olson (@randal_olson) July 11, 2019
Looks like a great way to standardize + improve readability of data cleaning code.
Thanks for the tip, @ericmjl! pic.twitter.com/28Mta5paI2
The scikit-learn ColumnTransformer is a huge game changer and can be used within a Pipeline to create one single object to do all transformations as well as machine learning. Here is a visual representation and the code that creates it. #machinelearning #python #datascience pic.twitter.com/SNtjvvNmYx— Ted Petrou (@TedPetrou) July 10, 2019
I started seeing type hints in Python code I was working on about a year ago now.— Vicki Boykis (@vboykis) July 9, 2019
My first thought: Nice!!
My second thought: Wait, what are type hints?
So I recently did a deep dive on what type hints bring to Python and whether we need to use them. https://t.co/cR1k1o0uVb