Pandas - History and Future - Talk Python to Me Ep.462
This episode dives into some of the most important data science libraries from the Python space with one of its pioneers: Wes McKinney. He's the creator or co-creator of pandas, Apache Arrow, and Ibis projects and an entrepreneur in this space.
▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe.
▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Wes' Website: https://wesmckinney.com/
▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬
Pandas: https://pandas.pydata.org/
Apache Arrow: https://arrow.apache.org/
Ibis: https://ibis-project.org/
Python for Data Analysis - Groupby Summary: https://wesmckinney.com/book/data-agg...
Polars: https://pola.rs/
Dask: https://www.dask.org/
Sqlglot: https://sqlglot.com/sqlglot.html
Pandoc: https://pandoc.org/
Quarto: https://quarto.org/
Evidence framework: https://evidence.dev/
pyscript: https://pyscript.net/
duckdb: https://duckdb.org/
Jupyterlite: https://jupyter.org/try-jupyter/lab/
Djangonauts: https://djangonaut.space/
Listen this episode on Talk Python: https://talkpython.fm/episodes/show/4...
Episode transcripts: https://talkpython.fm/episodes/transc...
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