awesome-jupyter
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`Framework :: Jupyter` PyPI Trove Classifier; gh topics, links of Notebook, Hub, Lab, BinderHub
This adds a number of bare links. I think the bare links (links without anchor text) are justified because:
- it's easier to remember which URLs I've read when the name of the document is the URL
- e.g. org/repo URLs are easier to learn when not having to hover or hold-press each link to remember which is which
I would add them before the fold, but they may be fine where there are at the end.
I could add TOC entries (or .. contents:: in RST) for each of the projects?
Here's four more:
- https://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html
- https://github.com/topics/binder-ready
- https://github.com/binder-examples
- https://github.com/binder-examples/jupyter-extension
- How to install jupyter extensions with a binder-ready project:
requirements.txt+postBuild
- How to install jupyter extensions with a binder-ready project:
http://ipython.org/documentation.html
https://ipython.readthedocs.io/en/stable/
http://ipyparallel.readthedocs.io/en/latest/
https://github.com/topics/ipython-extension (0 results ...
https://ipython.readthedocs.io/en/stable/config/extensions/
https://github.com/ipython/ipython/wiki/Extensions-Index
https://github.com/ipython-contrib/IPython-extensions
https://ipython.readthedocs.io/en/latest/interactive/magics.html
- [ ] how to conda install nbextensions
- [ ] why custom JS doesn't work in Jupyter about (without a jupyterlab extension)
Source: https://github.com/ipython-contrib/jupyter_contrib_nbextensions Docs: https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/
CondaPkg: https://anaconda.org/conda-forge/jupyter_nbextensions_configurator Src: https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator
Hey, sorry for the slow response. Just looking at this now. Given that master has advanced quite a bit, I'm going to cherry-pick things from this branch into smaller bits. For example the GitHub topics have been merged in with #34.
IPython is still the basis for the Python Jupyter kennel. Whether that's relevant to these docs IDK
On Monday, September 3, 2018, Markus Schanta [email protected] wrote:
@markusschanta commented on this pull request.
In README.md https://github.com/markusschanta/awesome-jupyter/pull/22#discussion_r214732399 :
- Q&A: http://stackoverflow.com/questions/tagged/jupyter
- Source: https://github.com/jupyter
- Docs: https://jupyter.org/documentation
- Docs: https://jupyter.readthedocs.io/en/stable/
- Jupyter Governance
- https://github.com/jupyter/governance
- JEP: Jupyter Enhancement Proposal
- https://github.com/jupyter/enhancement-proposals
- Blog: https://blog.jupyter.org/
- Twitter: @ProjectJupyter +- Jupyter Notebook
- Source: https://github.com/jupyter/notebook
- Docs: https://jupyter-notebook.readthedocs.io/en/stable/
- https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks +- IPython
Most of the IPython section looks rather stale. The last IPEP is from 2014 https://github.com/ipython/ipython/wiki/IPEPs:-IPython-Enhancement-Proposals and the wiki https://github.com/ipython/ipython/wiki looks quite dated too. With the split https://blog.jupyter.org/the-big-split-9d7b88a031a7 of the Jupyter and IPython projects, the IPython parts seem less relevant to me. What do you think?
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