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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] 4 points 8 months ago* (last edited 8 months ago)

For data science, it depends on what GPU you plan to use. If it's an Nvidia brand GPU, go with Ubuntu or Fedora. I say from personal experience that it is easier to get Nvidia drivers working on Ubuntu or Fedora than on most other distros I have tried. If it is a Radeon GPU, it will work fine on pretty much any distro at all since Radeon does a good job following Linux standard APIs for graphics card drivers, so for Radeon products I would also recommend Debian or Mint (along side Fedora and Ubuntu).