
Sign up to save your podcasts
Or
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
4.6
285285 ratings
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
470 Listeners
586 Listeners
435 Listeners
324 Listeners
140 Listeners
143 Listeners
269 Listeners
190 Listeners
136 Listeners
282 Listeners
87 Listeners
189 Listeners
63 Listeners
421 Listeners
233 Listeners