This post will spotlight a select group of open source Python data science projects with GitHub repos.

By Thomas Tanay

Easily two of the most popular posts on my blog are this one and this one describing a couple of ways in which I managed to hack together using an image as a category label in a ggplot.

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer is: you need both together.

It’s been pretty quiet over here for a long time. But I have been busy beavering away at many interesting projects at NIWA, including a project where we developed a new method for identifying when your regression model is starting … Continue reading →

I’ve been creating several output tables for a paper, which I usually store assheets in an Excel file, since my collaborators are entirely in the Microsoft Office ecosystem.

In R, the logical || (OR) and && (AND) operators are unique in that they are designed only to work with scalar arguments. Typically used in statements like

The New York Times columnist writes:

At: University of San Francisco Location: San Francisco, CAWeb: www.usfca.edu/data-institutePosition: Postdoctoral Fellowship, Data Institute

When you drink bubble tea, ideally you’d like to finish with the same proportions of boba and tea that you started at. Krist Wongsuphasawat took care of the math and provides a simulator for this ever important challenge: