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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 10 months ago by comfydecal@infosec.pub to c/linux@lemmy.ml

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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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[–] genie@lemmy.world 4 points 10 months ago* (last edited 10 months ago)

That's awesome! I hadn't heard about COSMIC DE.

Well put. The one thing I would add is using the Nix package manager on a distro other than NixOS! I'm daily driving Fedora 39 + Nix (home-manager) with zero problems. My pick would either be Fedora or Debian.

Tons of good documentation either way. Flatpak the packages you, no kidding, need to be easy / consistent to debug. Non-root podman for containers. Nix for more up to date packages than are available in the native repos (especially useful with Debian) + the other benefits like nix-shell.