Joris Van den Bossche

I am a core contributor to Pandas and maintainer of GeoPandas. I have given several tutorials at international conferences and a course on python for data analysis for PhD students at Ghent University. I did a PhD at Ghent University and VITO in air quality research, worked at the Paris-Saclay Center for Data Science, and, currently I am a freelance software developer and teacher.


Institute / Company – Ursa Labs / freelancer Institute / Company – Ursa Labs / freelancer Twitter handle – @jorisvdbossche Twitter handle – @jorisvdbossche Homepage – https://jorisvandenbossche.github.io/ Homepage – https://jorisvandenbossche.github.io/ Git*hub|lab – https://github.com/jorisvandenbossche/ Git*hub|lab – https://github.com/jorisvandenbossche/

Talks

Apache Arrow: a cross-language development platform for in-memory data

Apache Arrow, defining a columnar, in-memory data format standard and communication protocols, provides a cross-language development platform with already several applications in the PyData ecosystem.

The Rapid Analytics and Model Prototyping (RAMP) framework: tools for collaborative data science challenges

The RAMP (Rapid Analytics and Model Prototyping) framework provides a platform to organize reproducible and transparent data challenges. We will present the different framework bricks.

Introduction to geospatial data analysis with GeoPandas and the PyData stack

This tutorial is an introduction to geospatial data analysis, with a focus on tabular vector data using GeoPandas. It will show how GeoPandas and related libraries can improve your GIS workflow and fit nicely in the traditional PyData stack.