Question 1 of 30
In a collaborative data science project, a team is utilizing Jupyter Notebooks to analyze a large dataset containing customer purchase history. The team members are working in different geographical locations and need to share their findings and code efficiently. They decide to implement version control and document their analysis process. Which approach would best facilitate collaboration and ensure that all team members can contribute effectively while maintaining a clear record of changes made to the notebooks?
Use Git for version control, store notebooks in a shared repository, and utilize Markdown cells for documentation within the notebooks.
Save notebooks locally on each team member's machine and share them via email after each update.
Use a cloud-based storage solution without version control, allowing team members to edit notebooks directly in the cloud.
Rely on a single team member to maintain the notebooks and share updates during weekly meetings.

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