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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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Best distro for data science? [request] (infosec.pub)

submitted 8 months ago by [email protected] to c/[email protected]

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Ubuntu seems like it has the best compatibility, but any other suggestions for data wrangling, data analysis, data visualization, and machine learning in Julia, Python and R?

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[–] [email protected] 1 points 8 months ago

Use anything you want. All distros should support those packages, use what you're the most comfortable with.

I personally would recommend Fedora Silverblue/ it's other atomic variants or uBlue especially.
It's pretty much unbreakable, modern and supports ALL distros' package managers through Distrobox. It's also pretty simple in my opinion, since you pretty much don't have to worry about traditional package management.

I think you're searching something reliable and simple, so this would be a solid choice.

Mint would be great too