Regardless of which side of Python, software developer or data scientist, you sit on, you surely know that data scientists and software devs seem to have different styles and priorities. But why? And what are the benefits as well as the pitfalls of this separation. That's the topic of conversation with our guest, Dr. Jodie Burchell, data science developer advocate at JetBrains.

Links from the show

Jodie on Twitter: @t_redactyl
Jodie's PyCon Talk: youtube.com
Deep Learning with Python book: manning.com
Keras: keras.io
scikit-learn: scikit-learn.org
Matplotlib: matplotlib.org
XKCD Matplotlib: matplotlib.org
Pandas: pandas.pydata.org
Polars: pola.rs
Polars on Talk Python: talkpython.fm
Jupyter: jupyter.org
Ponder: ponder.io
Dask: dask.org

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Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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#422: How data scientists use Python

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