Data Science Data Science feed

Seaborn makes complicated things uncomplicated by giving you a range of plot types that "just work."

Matplotlib is the powerhouse of data visualization for Python developers. Here's how to get started.

This tutorial showcases a method to model data in just a few minutes.

This dashboard enables anyone to review the global pandemic, a specific country's status, and compare data and trends across countries.

Emacs' versatility and extensibility bring the editor's full power into play for writing data science code.

Apache Cassandra is built for speed and scalability; here's how to get the most out of those benefits.

Plausible Analytics is a leaner, more transparent option, with the essential data you need but without all the privacy baggage.

I'll demonstrate how to create two visualizations of the spread of a virus across the globe, provided open data and using open source libraries.