Managing Files on the MSU Engineering Jupyterhub serverFri 08 March 2019 by Dr. Dirk Colbry
The MSU Engineering Jupyterhub server provides 2GB of disk storage space for each student. It can be helpful to learn some disk management so you can use this space effectively.
For example, pip install uses a temporary folder when downloading packages. Periodically, deleting this folder can significantly free up space.
rm -rf ~/.cache
Also, some functions in the scikit learn and seaboarn libraries download their own data folders. You may also want to have them delete those once they are no longer using those packages.
rm -rf ~/scikit_learn_data rm -rf ~/seaborn-data
Another good command to learn is the “dh” command. I like to run the following in my home directory to see which of my folders are taking up the most space:
du -sh ~/*
To include hidden folders use:
du -sch .[!.]* *
To also sort the results (may take a while):
du -sch .[!.]* * | sort -h
Accessing a computer's camera inside of jupyter without installing OpenCV (Also works in Jupyterhub)
I am particularly proud of this code because of the following features:
- Does not require the installation of OpenCV (This can be tricky) read more
Migration from Blogger to Pelican
Jupyter Accessibility Project
My university (Michigan State University) plans to scale up the use of Jupyter in our classrooms but we need to address accessibility issues before we can adopt the platform for wide scale use. On behalf of MSU I had an external group conduct a preliminary audit of our current jupyterhub …read more