Joris Van den Bossche
jorisvandenbossche
Open source #python software developer and teacher. Pandas core developer. GeoPandas and Shapely maintainer. Working on Apache Arrow at Voltron Data Labs.
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Top Repositories
Tutorial on geospatial data manipulation with Python
Material for the pandas tutorial at EuroScipy 2016
Pandas introduction talk I gave at Pydata Paris 2015
Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University
Specifications for storing geospatial data in Apache Arrow and Apache Parquet
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Repositories
193Tutorial on geospatial data manipulation with Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Material for the pandas tutorial at EuroScipy 2016
Clean APIs for data cleaning. Python implementation of R package Janitor
Workshop about GeoParquet at the Cloudscaping Geo Symposium in Delft
Vectorized vector I/O using OGR
Pandas introduction talk I gave at Pydata Paris 2015
Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University
matplotlib: plotting with Python
scikit-learn: machine learning in Python
Sources/hosting of personal website. Actual source: https://github.com/jorisvandenbossche/jorisvandenbossche.github.io/tree/src
A conda-smithy repository for pyogrio.
Test suite for the dataframe interchange protocol
Cartopy - a cartographic python library with matplotlib support
Wraps GEOS geometry functions in numpy ufuncs.
A conda-smithy repository for shapely.
The Python programming language
A conda-smithy repository for dask-geopandas.
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A conda-smithy repository for arrow-cpp.
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Downloading air quality data from the SOS of IRCEL - CELINE
Get a free 1Password Teams membership for your open source project
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Install Conda and friends on Google Colab, easily
Specifications for storing geospatial data in Apache Arrow and Apache Parquet
Presentation about pandas 2.0 and beyond at EuroScipy 2023