Request more RAM + packages for ESPM-288

[cboettig]

Which hub do you want more RAM on? Please link the URL to the hub while specifying the hub name

For example: nature.datahub.berkeley.edu

Which class is this request for?

"2025 Spring, ESPM-288 Reproducible And Collaborative Data Science".

What is the Academic Guide URL for this class?

For example, https://classes.berkeley.edu/content/2025-spring-espm-288-001-lab-001

What is the bCourses URL for this class?

For example, https://bcourses.berkeley.edu/courses/9876543

How many students do you expect in this class?

24

How much RAM per user is needed?

4 GB (Four GB) of RAM per student.

Why does this class need this much RAM?

Required by the libraries we are using for spatial data (as in ESPM-157)

Jan 22

This will help us with the prioritization of this request.

06/24

This will help us scale down resources when the RAM increase is no longer required

This is following on from the setup we developed with the datahub team in #5827. I am happy to open new issues for the different elements of this request, though last semester the team preferred things consolidated into that issue.

Additional Packages

Code-server (vscode) extensions:

• ms-python.python
• ms-toolsai.jupyter
• quarto.quarto
• continue.continue
• ms-vscode.live-server
• posit.shiny
• reditorsupport.r

R

• R environment
• RStudio + jupyter-rsession-proxy
• tidyverse, mapgl, sf, stars, terra, gdalcubes, rstac, duckdbfs, minioclient

[balajialg]

@cboettig Thanks! Nature Hub already provides 4 GB RAM for all users.

[ryanlovett]

@cboettig nature-staging.datahub.berkeley.edu should have all of these installed now. Just let us know if anything looks amiss.

[balajialg]

@cboettig Changes are merged to prod and should be live in the next 30-40 minutes