Nov. 18, 2023, 2 p.m. | /u/Pl4yByNumbers

Data Science

We all know that in general notebooks are the standard for many data science teams and that they can lead to bad practise (notebooks that can’t be run top to bottom, functions that change definition etc.).

Are there any resources for what best design practice looks like for notebook lead DS for the sake of clear and repeatable analysis/modeling.

For example:

1. Should non-package functions be defined in notebooks or imported from a separate .py.

2. Handling data imports (all …

best practices change data data science datascience data science teams definition design etc functions general notebook notebooks practice practices resources science standard teams

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