pgcontents
papyri
pgcontents | papyri | |
---|---|---|
2 | 2 | |
149 | 81 | |
0.0% | - | |
0.0 | 9.3 | |
about 1 year ago | 16 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
pgcontents
-
Jupyter Notebooks.
First, the format. The ipynb format does not play nicely with git since it stores the cell's source code and output in the same file. But Jupyter has built-in mechanisms to allow other formats to look like notebooks. For example, here's a library that allows you to store notebooks on a postgres database (I know this isn't practical, but it's a great example). To give more practical advice, jupytext allows you to open .py files as notebooks. So you can develop interactively but in the backend, you're storing .py files.
-
Release of IPython 8.0
First, yes, this is a common question. IPython does not try to deal with that, it's just the executing engine.
Notebooks, do not have to be stored in ipynb form, I would suggest to look at https://github.com/mwouts/jupytext, and notebook UI is inherently not design for multi-file and application developpement. So training humans will always be necessary.
Technically Jupyter Notebook does not even care that notebooks are files, you could save then using say postgres (https://github.com/quantopian/pgcontents) , and even sync content between notebooks.
I'm not too well informed anymore on this particular topic, but there are other folks at https://www.quansight.com/ that might be more aware, you can also ask on discourse.jupyter.org, I'm pretty sure you can find threads on those issues.
I think on the Jupyter side we could do a better job curating and exposing many tools to help with that, but there are just so many hours in the day...
I also recommend I don't like notebook from Joel Grus, https://www.youtube.com/watch?v=7jiPeIFXb6U it's a really funny talk, a lot of the points are IMHO invalid as Joel is misinformed on how things can be configured, but still a great watch.
papyri
- Papyri rendered documentation inside IPython/Jupyter
-
Release of IPython 8.0
Yes, bpython is good. I have plans to make the documentation better (https://github.com/jupyter/papyri) but so far I only have a few hours per week I can spend on IPython. Jedi from david halter should also get some love for better completion.
What are some alternatives?
jupyter_console - Jupyter Terminal Console
mercury - Convert Jupyter Notebooks to Web Apps
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
bpython - bpython - A fancy curses interface to the Python interactive interpreter
nbdev - Create delightful software with Jupyter Notebooks
papermill - 📚 Parameterize, execute, and analyze notebooks
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️