Getting Data Scientists to Write Better Code 🔥 with Laszlo Sragner

Youtube - 2022-02-14

DagsHub co-founder Dean Pleban kindly invited me to his podcast: “The MLOps Podcast”.

While planning for the event, we quickly realised that code quality and “build _and_ buy” should be the most interesting topic, something that both of us deeply care about.

Teaching Data Scientists to write better code is one of the core mission of Hypergolic, our consulting company. If you follow this blog, you must have seen plenty of articles about it:

1. How can a Data Scientist refactor Jupyter notebooks?

2. You only need 2 Design Patterns to improve the quality of your code

3. What is a Code Smell, and what can you do about it? (Part 1)

4. Refactoring for Data Scientists: How to maintain readability in a single method?

5. Simple trick to optimise code and maintain readability in a compute-heavy application

6. 5 Minimalist Tips for Data Scientists to reduce frustration while working with Pandas

7. 3 Ways Domain Data Models help Data Science Projects

Please take a look at the recording on their YouTube channel:

Or listen to it at your favourite place:

https://anchor.fm/mlops-podcast/episodes/Getting-Data-Scientists-to-Write-Better-Code--with-Laszlo-Sragner-e1ec848/a-a7db7md