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#copr

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Any #DataScience people here?

I have a huge #BeaconDB dataset here, recorded with #NeoStumbler.

I would like to play around with it a bit, display densities of radio devices on a map.

I know #QGis, is it reasonably easy to import a CSV file there, assign the coordinates to some columns etc?

Alternatively I know a bit of #R, but #RStudio is #Electron now, so that could get a hassle XD

Btw, there is a #Fedora #COPR for R-Cran packages, how is the situation on #NixOS?

Why is it so hard, in the year 2025, to convert a large Ruby (or Python, or Node) project into a repo of deb/rpm packages? Why can't I install the project into a fakeroot or Docker image and have some util convert all of the installed gems/pips/npms into a repo of deb/rpm specs that I can then host?

#debian#ppa#rpm

Can anyone answer this question I have about Fedora?
I'm thinking of using Fedora 41 for music production (as well as the usual desktop stuff). In order to install several audio effects plugins it looks like I will have to add a music-focussed COPR repo.
What's the likelihood of my system becoming wobbly by adding COPR repo/s and is there anything I do to prevent it?
#fedora #copr #linuxaudio

Continued thread

2/ Side note for users of :

6.12 is now available for all Fedora releases in the "stable" of my vanilla repositories.

For install instructions, see copr.fedorainfracloud.org/copr and fedoraproject.org/wiki/Kernel_

In addition to the regular kernel package that copr as of today started shipping a dedicated kernel which has enabled. Install it by running:

$ sudo dnf install kernel-rt