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 
 
<div>Jodie on Twitter: <a href="https://twitter.com/t_redactyl" target="_blank" rel="noopener">@t_redactyl</a> 
Jodie's PyCon Talk: <a href="https://www.youtube.com/watch?v=wISl6LCL8XY" target="_blank" rel="noopener">youtube.com</a> 
Deep Learning with Python book: <a href="https://www.manning.com/books/deep-learning-with-python-second-edition" target="_blank" rel="noopener">manning.com</a> 
Keras: <a href="https://keras.io" target="_blank" rel="noopener">keras.io</a> 
scikit-learn: <a href="https://scikit-learn.org/stable/" target="_blank" rel="noopener">scikit-learn.org</a> 
Matplotlib: <a href="https://matplotlib.org" target="_blank" rel="noopener">matplotlib.org</a> 
XKCD Matplotlib: <a href="https://matplotlib.org/stable/gallery/showcase/xkcd.html" target="_blank" rel="noopener">matplotlib.org</a> 
Pandas: <a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas.pydata.org</a> 
Polars: <a href="https://www.pola.rs" target="_blank" rel="noopener">pola.rs</a> 
Polars on Talk Python: <a href="https://talkpython.fm/episodes/show/402/polars-a-lightning-fast-dataframe-for-python-updated-audio" target="_blank" rel="noopener">talkpython.fm</a> 
Jupyter: <a href="https://jupyter.org" target="_blank" rel="noopener">jupyter.org</a> 
Ponder: <a href="https://ponder.io" target="_blank" rel="noopener">ponder.io</a> 
Dask: <a href="https://www.dask.org" target="_blank" rel="noopener">dask.org</a> 
 
Explosion AI's Prodigy discount code: get a personal license for 25% off using the discount code TALKPYTHON. 
Watch this episode on YouTube: <a href="https://www.youtube.com/watch?v=wV04TkdVUyU" target="_blank" rel="noopener">youtube.com</a> 
Episode transcripts: <a href="https://talkpython.fm/episodes/transcript/422/how-data-scientists-use-python" target="_blank" rel="noopener">talkpython.fm</a> 
 
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