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Git Deep Dive for Data Scientists

9 min readJul 1, 2023

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Originally published at https://mathdatasimplified.com on July 1, 2023.

Why Choose Git for Your Data Science Project?

Git is a version control system widely used in software development, but is it the right choice for your data science project? Absolutely.

Here are some reasons why Git is invaluable for data science:

Version Control

Scenario:

You replace the current data processing technique with a new approach. After realizing that the new approach is not producing the desired results, you want to revert back to a previous working version.

Unfortunately, without version control, it becomes a daunting task to undo multiple changes.

Solution:

With Git, you can track changes to your codebase, switch between different versions, compare changes, and roll back to a stable state if necessary.

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Collaboration

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An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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