[Python] Optimal Python Version for Data Science (2025) and Version Management [closed]

I'm starting out in Data Science and have been using the latest Python version without issues. However, I recently heard an experienced Data Scientist recommend using Python 3.9.x (I don't recall the specific minor version).

This leads to two questions:

1. What is the generally recommended Python version (and why) for Data Science projects in 2025? Are there specific advantages to sticking with a slightly older version like 3.9, or is it generally best to use the latest stable release?
2. If I create a Conda environment with Python 3.9, will subsequent conda update --all commands within that environment upgrade Python beyond 3.9? Or will it stay within the 3.9.x series? I want to understand how to maintain a specific major/minor version.

Thanks!

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