Super Data Science: ML & AI Podcast with Jon Krohn

629: Software for Efficient Data Science

Nov 22, 2022
Guest
Jodie Burchell
Dr. Jodie Burchell, data science developer advocate for JetBrains, shares tips on real-world data preparation, favorite Python libraries, reproducible data science workflows, and insights into the role of a data science developer advocate. The episode explores JetBrains' developer tools, the challenges of working with messy real-world data, and efficient collaboration tools for data scientists.
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Episode notes
1
Intro
00:00 • 4min
2
Challenges of Real-World Data in Data Science
04:19 • 8min
3
Exploring PyCharm and Data Spell for Data Science
11:59 • 5min
4
Exploring JetBrains' DataLore for Data Science Infrastructure Set-up
17:08 • 13min
5
Efficient Collaboration and Resource Access in Data Science
30:23 • 4min
6
Innovative Data Science Development Software and Developer Advocacy Insights
34:13 • 11min
7
Pursuing Dual Degrees, Importance of Piping in Data Science, and NLP Packages in Python
45:07 • 22min
8
Insights on Social Media Presence, Data Science Tools, and Career Advice
01:07:21 • 4min