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To sever? Or not to server? #1
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Hi Ben,
I can’t access github from the airport here, so I’m replying by email…
If you can make a Gulf of Maine crop with a handful of relevant data layers that isn’t too big, then yes, I’m fine letting them work on their own computers. We’ll just have to budget time for getting everyone set up.
Cheers,
Nick
… On Dec 6, 2024, at 12:04 PM, Ben Tupper ***@***.***> wrote:
That is the question @SeascapeScience <https://www.google.com/url?q=https://github.com/SeascapeScience&source=gmail-imap&ust=1734109496000000&usg=AOvVaw0A-9UhzVoFjKgXNEIuhyVV>
I haven't heard back from IT regarding a server even after a 2nd message. I was about to ping Kevin directly, when it occurred to me to see how big the cropped Brickman data (and other data) really is. The answer is not very much at 23MB. It includes 83 brickman files, 3 coastline files (coarse, medium and detailed) and a small file with example location (happens to be the Gulf of Maine buoys). All other data the students generate for themselves.
***@***.*** ColbyForecasting $ ll
total 12
drwxrwsrwx 8 btupper ecocast 4096 Dec 6 11:21 ColbyForecasting2025
drwxrwsr-x 5 btupper ecocast 4096 Dec 5 10:00 ColbyForecasting2025.wiki
drwxrwsr-x 7 btupper ecocast 4096 Dec 5 12:09 data
***@***.*** ColbyForecasting $ du -hs data
23M data
We could consider having students use there own laptops, and have them download the data either from a separate repos (ColbyForecastingData) or download from a Google drive. The advantages of this approach include...
students keep everything post course,
no IT support needed,
github transactions are between student and github can be via Githb Desktop App
The disadvantages are ...
the mayhem of establishing that everyone has RStudio and R up-to-date,
the mayhem of student-github credentials (that would be true with or without server),
the mayhem of package installs and dependencies...
Everything is a tradeoff. So what do you think?
—
Reply to this email directly, view it on GitHub <https://www.google.com/url?q=https://github.com/BigelowLab/ColbyForecasting2025/issues/1&source=gmail-imap&ust=1734109496000000&usg=AOvVaw1awJZ-VrcMcP0pv4CDAfc0>, or unsubscribe <https://www.google.com/url?q=https://github.com/notifications/unsubscribe-auth/ABZ3XN2ZSI3MERYQ55JQSQ32EHKLJAVCNFSM6AAAAABTFBT5EWVHI2DSMVQWIX3LMV43ASLTON2WKOZSG4ZDGNJTGEYDOOA&source=gmail-imap&ust=1734109496000000&usg=AOvVaw2IjrlfQ7N7EYvnc2i-MGuO>.
You are receiving this because you were mentioned.
|
I think the only wrinkle is if someone shows up with an ancient computer, but I suspect that is unlikely. |
@SeascapeScience are you able to download and unpack this zipped directory from Google Drive? https://drive.google.com/file/d/1dZEFNVlJRa3WGj4qhDcF3JUCb-6wHCTb/view?usp=share_link |
Yep! |
Oooooh, I got a message last night that IT spun up Rstudio Server (rstudio.bigelow.org) for us. It can wait until we talk, but, rats!, now we really have to choose! |
That is the question @SeascapeScience
I haven't heard back from IT regarding a server even after a 2nd message. I was about to ping Kevin directly, when it occurred to me to see how big the cropped Brickman data (and other data) really are. The answer is not very much at 23MB. It includes 83 brickman files, 3 coastline files (coarse, medium and detailed) and a small file with example location (happens to be the Gulf of Maine buoys). All other data the students generate for themselves.
We could consider having students use their own laptops, and have them download the data from a Google drive. The advantages of this approach include...
The disadvantages are ...
Everything is a tradeoff. So what do you think?
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