Jeroen Janssens

I’m excited to share with you a cheatsheet I made for Plotnine, a Python package for data visualization.

I’m excited to share that I’m stepping into a new role at Posit PBC as Head of Developer Relations!

Today is my last day at Xomnia.

The final animation was a runner up in the 2024 Plotnine Plotting Contest.

Hey there, you’re reading an updated version of a post I published way back in 2019.

I’m excited to announce, on my 40th birthday no less, that I’ll be writing another book.

Inspired by Julia Evans’ post A list of programming playgrounds, I decided to revive a playground I made about 10 years ago.

Embrace the Command Line was a three-week cohort-based course, created to help developers and researchers getting started with the command line.

To improve my iTerm+tmux experience, I’ve set up a whole bunch of key mappings.

Because I’ve closed my company Data Science Workshops, I don’t need its 16 domains names any more.

I have decided to close my company Data Science Workshops B.V.

I’m building a Lego table for my kids (and, I’ll admit, a little bit for myself).

There’s something exciting about scraping a website to build your own dataset!

Because ggplot2 is the de-facto package for creating high-quality data visualizations in R, and has been for a long time, there exists many excellent resources for learning ggplot2, including: the ggplot2 website, a two-page cheat sheet (PDF), Stack Overf…

Plotnine is a data visualisation package for Python based on the grammar of graphics, created by Hassan Kibirige.

I’ve created a Python script called csv2vw which, as the name implies, converts CSV data to Vowpall Wabbit’s input format. csv2vw is available on GitHub in my dsutils repository.

This interview first appeared on Data Science Weekly in October 2014.

Did you know that there’s a Bash kernel for Jupyter Notebook?

Data scientists love to create interesting models and exciting data visualisations.

My Ph.D., which I completed earlier this year, was about outlier selection and one-class classification.

Data science is OSEMN (pronounced as awesome).

The Visual Revenue platform provides a number of great tools that support editors to optimize their front page.

Update (6-9-2013) This code is now also available as the “jump” plugin in oh-my-zsh.