The Yhat Blog


machine learning, data science, engineering




  • Rodeo v2.3.0: Ridiculous speed and pop-out plots

    by Dane | Sep 21 2016

    We made Rodeo render 400% faster and added pop-out plots. Here's how.


  • Analyzing the conditions for studying stars

    by Philipp Plewa | Sep 19 2016

    Using pandas and seaborn to analyze weather data at the very large telescope


  • Introduction to Split Testing Models

    by Yhat | Sep 16 2016

    What is split testing and how does it work in ScienceOps?


  • Using Rodeo to Analyze Presidential Candidate Tweets

    by Stephen Hsu and Michael Luong | Sep 12 2016

    Using Rodeo, the Twitter API, and Tabelau to analyze how candidates speak to the masses


  • Rodeo v2.2.0: Pain free package search/install, plus themes!

    by Elise | Sep 08 2016

    New searchable package tab, plus light/dark theme prefs


  • Analyzing iPhone Step Data

    by Ross | Sep 06 2016

    Analysis of iPhone step data using pandas timeseries, Rodeo, and ggplot


  • What We Learned Analyzing Hundreds of Data Science Interviews

    by Roger Huang | Sep 02 2016

    What data science interviews at top companies like Google, Airbnb, Facebook and Uber look like


  • Installing Python + Rodeo on Windows, Mac or Linux

    by Yhat | Aug 31 2016

    Want to install Python + Rodeo on your computer? Start here.


  • Moving from R to Python: The Libraries You Need to Know

    by Yhat | Aug 29 2016

    Moving from R to Python? Make sure you know about these packages.


  • Rodeo v2.1.3 ... "This is a big one"

    by Dane | Aug 26 2016

    Several major Windows bugs fixed and a new startup emphasizing your python command