[D] What is the common/best practice for sharing codebase in data science team?

Hello, I wonder what is the common/best practice for sharing codebase in data science team? To elaborate, I work in a data science team on a similar theme

* Naturally, we use Jupyter notebook that is running on GCP, each person spawn their own instance
* But because they were similar theme are code duplications between each person/project
* Moreover, if we want to iterate on a project, the new version is just a copy of an old notebook version. …

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