Using Selenium, BeautifulSoup, Pandas and Plotly to look at NHL shot blocking data.
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Introducing Prediction Analytics
Introducing System Overview, Graphite and a Debug Server
How to use Python and node.js to build a drone that moves all by itself.
How to normalize data using feather and pandas.
Examining cricket player career lengths using Survival Analysis
Does firing a coach during the season actually help a team improve their record?
Interview with one of the core members of the pandas Python library, Masaaki Horikoshi
New release, including tab-completion for getting docstrings for functions and bug fixes.
Let your data scientists get back to their real jobs.
Models see the light of day before the end of day.
An IDE for doing data science on your desktop.