Next Meetup

PyData Paris - January 2019 Meetup
Mark your calendar for the next session of the PyData Paris Meetup on January 21st 2019. This Meetup will be hosted by IPGP (Institut de Physique du Globe de Paris), rue Jussieu. The speakers for this session are Joris Van den Bossche and Viviane Pons. Schedule 7:00pm - 7:15pm: Community announcements 7:15pm - 8:00pm: Joris Van den Bossche GeoPandas: easy, fast and scalable geospatial analysis in Python 8:00pm - 8:45pm Viviane Pons Teaching with Jupyter at Université Paris-Sud Bios: Joris Van den Bossche is an open source Python enthusiast currently working at the Université Paris-Saclay Center for Data Science (at Inria), working both on data science projects as contributing to Pandas and scikit-learn. Before that, Joris completed a PhD at Ghent University and VITO (Belgium) on air quality research. Joris regularly gives Python data analysis workshops. He is a core contributor to Pandas and the maintainer of GeoPandas. Viviane is a computer scientist and a faculty member at Université Paris-Sud (Orsay). Her research is at the boundary between theoretical computer science and mathematics, and involves a lot of exploratory computing. She teaches algorithmics and programming both at beginner and graduate levels. As an open-source developer, she contributes to the SageMath and OpenDreamKit projects. She also volunteers for the community by co-leading the Paris chapter of PyLadies with Anna-Livia Gomart. Stay tuned for more details about the Meetup!

Institut de Physique du Globe de Paris

1 Rue Jussieu · Paris

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    PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques. PyData is organized by, a 501(c)3 non-profit in the United States.

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