Description
DétailsOn the day following the PyData Paris conference, open-source contributors and maintainers will gather at Carrefour Numérique to contribute to the open-source data science stack.
Note: Sprints are open to everyone, not just attendees of the conference. However, if you are interested in attending the PyData Paris conference, you can check out details and sign up at https://pydata.org/paris2024. PyData Paris will be the main gathering of the open-source data-science and AI/ML community.
Contributors to the following projects have already signed up the the sprint day!
pandas: Data analysis and manipulation tool
pyarrow: Columnar in-memory analytics
narwhals: Lightweight compatibility layer between dataframe libraries
scikit-learn: Machine Learning in Python
skrub: Prepping tables for machine learning
geopandas: Geospatial data analysis extending pandas
Project Jupyter: Interactive Scientific Computing
Make Open Data: Modern Data Stack Open Source for public data
You can also check out the PyData Paris page on the sprint day, which will receive frequent updates on sprint subjects: https://pydata.org/paris2024/sprints.
We will welcome participants starting at 9:30 AM at the Carrefour Numérique, located at 30 Av. Corentin Cariou, 75019 Paris.
Note: Sprints are open to everyone, not just attendees of the conference. However, if you are interested in attending the PyData Paris conference, you can check out details and sign up at https://pydata.org/paris2024. PyData Paris will be the main gathering of the open-source data-science and AI/ML community.
Contributors to the following projects have already signed up the the sprint day!
pandas: Data analysis and manipulation tool
pyarrow: Columnar in-memory analytics
narwhals: Lightweight compatibility layer between dataframe libraries
scikit-learn: Machine Learning in Python
skrub: Prepping tables for machine learning
geopandas: Geospatial data analysis extending pandas
Project Jupyter: Interactive Scientific Computing
Make Open Data: Modern Data Stack Open Source for public data
You can also check out the PyData Paris page on the sprint day, which will receive frequent updates on sprint subjects: https://pydata.org/paris2024/sprints.
We will welcome participants starting at 9:30 AM at the Carrefour Numérique, located at 30 Av. Corentin Cariou, 75019 Paris.
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