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Building scalable ETL pipelines and deploying them in the cloud can seem daunting. It shouldn't be. Leveraging proper ... Geospatial datasets are growing in size, often exceeding 100TB and reaching into Petabyte scale. Many of these datasets are ... Pandas has reached a 2.0 milestone in 2023. But what does that mean? And what is coming after 2.0? This talk will give an ... Richard Pelgrim presents: Data Science at Scale with
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Patrick Hoefler - The Arrow revolution in pandas and Dask | PyData NYC 2023
Processing Large Geospatial Datasets with Dask & Xarray - Patrick Hoefler
PyHEP2022 Dask Tutorial
Joris Van den Bossche & Patrick Hoefler: Pandas 2.0 and beyond
Dask Tutorial: The PyData Ecosystem- Natalia Clementi, Julia Signell, Jacob Tomlinson | SciPy 2022
Julia Signell: Data-centric exploration using intake, dask, hvplot, and more | PyData New York 2019
Richard Pelgrim - Data Science at Scale with Dask | PyData London 2022
Richard Pelgrim: Data Science at Scale with Dask
Talks - Patrick Hoefler: Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
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Last Updated: June 10, 2026
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