This repository has the Python equivalent of the R-code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce. This 1st edition book, by O'reilly Media, is a compact reference that explains 50 of the main concepts, that every aspiring Data Scientists should know.
The authors have provided curated data that is used in their R code to illustrate the 50 concepts.
Download R-code from: https://github.com/andrewgbruce/statistics-for-data-scientists
Download data from (data has been provided in this repository too, for completedness):
Google Drive - https://drive.google.com/drive/folders/0B98qpkK5EJemYnJ1ajA1ZVJwMzg
Dropbox: https://www.dropbox.com/sh/clb5aiswr7ar0ci/AABBNwTcTNey2ipoSw_kH5gra?dl=0