December 2017
Beginner to intermediate
410 pages
12h 45m
English
With each passing year data becomes more important to the world, as does the ability to compute on this growing abundance of data. When deciding how to interact with data, most people make a decision between R and Python. This does not reflect a language war but rather a luxury of choice where data scientists and engineers can work in the language with which they feel most comfortable. These tools make it possible for everyone to work with data for machine learning and statistical analysis. That is why I am happy to see what I started with R for Everyone extended to Python with Pandas for Everyone.
I first met Dan Chen when he stumbled into the “Introduction to Data Science” course while working toward a master’s in public health at ...