nbgrader
Jupyter Notebook (IPython)
| nbgrader | Jupyter Notebook (IPython) | |
|---|---|---|
| 1 | 3 | |
| 1,255 | 7,576 | |
| 0.4% | 0.3% | |
| 7.1 | 9.7 | |
| 9 days ago | 8 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nbgrader
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Teams for Education
We are using nbgrader[0] to handle the labs of our students, while we are happy with nbgrader, from the videos, Teams for Education look so much nicer to use.
I also agree that using tools centered on coding offer a really nice experience for both students and teachers.
[0] -- https://github.com/jupyter/nbgrader
Jupyter Notebook (IPython)
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MacBook: Jupyter Lab -- "ModuleNotFoundError: No module named 'pysqlite2'"
Based on this conversation, this more or less means that your Python installation is kind of borked. By default it should use the built-in sqlite3, but apparently your installation is either ignoring it or it's missing for some reason.
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basic question: normally i run apache or rabbitmq as user apache or user rabbitmq. should i run jupyterhub as root, yes or no?
this is just a summary of the jupyterhub docs: https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges
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Contributing to open source projects: let's get us all started
Something quite nifty I found about recently is that you can directly head over to the issues marked with these labels directly by going to the projects contributing page. For example, for JupyterHub, you would head over to https://github.com/jupyterhub/jupyterhub/contribute. Plus the Contribution guidelines are also made visible so you can access them directly!
What are some alternatives?
jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker
bpython - bpython - A fancy curses interface to the Python interactive interpreter
docker-stacks - Ready-to-run Docker images containing Jupyter applications
ptpython - A better Python REPL
the-littlest-jupyterhub - Simple JupyterHub distribution for 1-100 users on a single server
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
kubespawner - Kubernetes spawner for JupyterHub
pangeo-binder - Pangeo + Binder (dev repo for a binder/pangeo fusion concept)
nbstripout - strip output from Jupyter and IPython notebooks
ipython-cells - IPython extension for running code blocks in .py files