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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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What is your directory structure like for programming? (pawb.social)

submitted 1 week ago by [email protected] to c/[email protected]

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For most of college, I’ve kept it simple: I’d create a directory in my home folder for each project, then eventually move older or inactive ones into ~/programming/. When I change devices or hit file size limits, I’ll compress and send things to my NAS.

This setup has worked pretty well so far. But now that I’m graduating and my projects keep stacking up, I’m starting to wonder if there’s a more efficient system out there.

Curious—how do you all organize and store your projects? Any tips or methodologies that have made your lives easier over time?

The only person I’ve talked to about this is my mentor who’s been programming since the 60s (started on the IBM 1620 and Bendix G15) and he just mostly keeps projects in directories in his home directory and uses his godly regular expressions skills to find things that way. Makes me wonder if I’m overthinking it…

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[–] [email protected] 7 points 1 week ago (2 children)

I push every project I work on right away to my gitea instance. If I expect not to work on something for some time I just delete the local copy.

When I change devices or hit file size limits, I’ll compress and send things to my NAS.

Well, that sounds inconvenient.

[–] [email protected] 3 points 1 week ago (1 children)

Yeah, I really should start using Git for everything, but I’ve been working with a lot of large datasets recently (mostly EEG data). A big part of improving accuracy comes from cleaning the data, which is huge and takes a while to process. I could set up a local Git server to keep track of everything or just save the base data files and regenerate as needed, but on my current setup, that process can take anywhere from 2-6 hours depending on the task. So for now, I’ve just been managing everything locally to save time.

[–] [email protected] 2 points 1 week ago

git LFS might be for you. If the data takes so long to reprocess I think it is fine to check it in (possibly using LFS).