Talks & Publications

Talks

What we learned by converting a large codebase from Pandas to Polars. PyData NYC 2024, November 8, 2024.
Turning DataFrames into Pretty Pictures with Plotnine. PyData NYC 2024, November 6, 2024.
How I hacked UMAP and won at a plotting contest. PyData Amsterdam 2024, September 20, 2024.
polars.DataFrame.plot(). Data & Drinks Meetup, Amsterdam, the Netherlands. May 16, 2024.
Turning Polars DataFrames into Pretty Pictures and Great Tables. New York Open Statistical Programming Meetup. New York, NY. May 7, 2024.
R and Raylib: All Fun and Games‽ NYR Conference. New York, NY. June 9, 2022.
How Researchers and Developers Can Benefit from the Command Line. Live online master class. March 8, 2022.
Set Your R Code Free; Turn It Into a Command-Line Tool. NYR Conference. September 9, 2021.
Visualizing High-Dimensional Data with Python. O’Reilly Live Training. August 17, 2020.
Scalable Anomaly Detection With Spark and SOS. Strata Data Conference. New York, NY. September 26, 2019.
50 Reasons to Learn the Shell for Doing Data Science. Strata Data Conference. New York, NY. September 13, 2018.
Data Science with Unix Power Tools. NLUUG Spring Conference. Utrecht, the Netherlands. May 15, 2018.
Everybody Can Knit With {knitractive}. amst-R-dam. Amsterdam, the Netherlands. March 1, 2018.
Create Interactive Maps in Seconds with R and Leaflet. Strata Data Conference. London, UK. May 24, 2017.
The Polyglot Data Scientist. New York Open Statistical Programming Meetup. New York, NY. June 23, 2016.
The Polyglot Data Scientist. Strata + Hadoop World. London, UK. June 2, 2016.
Vowpal Wabbit: The Essence of Speed in Machine Learning. Strata + Hadoop World. San Jose, CA. March 31, 2016.
Poor Man’s Parallel Pipelines. Strata + Hadoop World. London, UK. May 7, 2015.
Data Science Toolbox and the Importance of Reproducible Research. Strata + Hadoop World. Barcelona, Spain. November 20, 2014.
Predicting at the Command Line. 1st International Conference on Predictive APIs and Apps. Barcelona, Spain. November 17, 2014.
Building a Data Science Toolbox. Data Science London Meetup. London, UK. April 10, 2014.
Obtaining, Scrubbing, and Exploring Data at the Command Line. New York Open Statistical Programming Meetup. New York, NY. January 29, 2014.
Sudo Make Me a Visualization! Strata Ignite. New York, NY. October 28, 2013.
Algorithms for Outlier Selection and One-Class Classification. NYC Machine Learning. New York, NY. November 21, 2013.

Publications

Data Science at the Command Line, second edition. Foreword by Tim O’Reilly. Published by O’Reilly Media. August 17, 2021.
Data Science from the Shell. The command line is a great environment for inspecting a dataset, automating data science tasks, and more. Hit the ground running with this playlist. June 12, 2020.
Outlier Selection and One-Class Classification. PhD thesis. Supervised by Eric Postma and Jaap van den Herik. Tilburg University, June 11, 2013.
Ranking Images on Semantic Attributes using Human Computation. Computational Social Science and the Wisdom of Crowds (NIPS 2010). Whistler, Canada. October 8, 2010.
Outlier Detection with One-Class Classifiers from ML and KDD. International Conference on Machine Learning and Applications. Miami, FL. December 13, 2009.

Interviews

Talk Python To Me #392: Data Science from the Command Line. Interview with Michael Kennedy for the Talk Python To Me Podcast. December 2, 2022.
SDS #531: Data Science at the Command Line. Interview with Jon Krohn for the SuperDataScience Podcast. December 14, 2021.
Five reasons why researchers should learn to love the command line. I spoke with Jeffrey Perkel at Nature about the benefits of the Unix command line. February 2, 2021
Interview met Transavia, DPD en Data Science Workshops (Dutch). Studio Data at Big Data Expo. Utrecht, the Netherlands. September 19, 2019.
SE-Radio #315: Jeroen Janssens on Tools for Data Science. Interview with Felienne Hermans for Software Engineering Radio. January 23, 2018.
Anomalies, Concerts, and the Command Line. Data Science Weekly interviews Jeroen Janssens. May 18, 2015.