http://technology.stitchfix.com/blog/2015/03/17/grammar-of-data-science/
Python and R are popular programming languages used by data scientists.
Until recently, I exclusively used Python for exploratory data analysis,
relying on Pandas and Seaborn for data manipulation and visualization. However, after seeing my colleagues do some amazing work in R with dplyr and ggplot2,
I decided to take the plunge and learn how the other side lives. I
found that I could more easily translate my ideas into code and
beautiful visualizations with R than with Python. In this post, I will
elaborate on my experience switching teams by comparing and contrasting R
and Python solutions to some simple data exploration exercises.
No comments:
Post a Comment