629: Software for Efficient Data Science

What this episode covers

Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.This episode is brought to you by Iterative (iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Jodie’s background in psychology [2:22]• Jodie's tips for real-world data preparation [6:55]• Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:41]• What is a data science developer advocate? [38:47]• The books that Jodie's co-authored [46:18]• Jodie's favorite Python libraries [58:33]• How to have reproducible data science workflows [1:01:36]Additional materials: www.superdatascience.com/629

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Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 1 hour and 11 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on November 22, 2022.

What is this episode about?

Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider....

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.