vim-ipython-cell
jupytext.vim
vim-ipython-cell | jupytext.vim | |
---|---|---|
11 | 4 | |
323 | 294 | |
- | - | |
3.1 | 4.4 | |
12 months ago | 7 months ago | |
Python | Vim Script | |
GNU General Public License v3.0 only | 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.
vim-ipython-cell
-
Neovim workflow for machine learning / data scientist. Struggling with jupyter notebooks.
hanschen/vim-ipython-cell: Seamlessly run Python code in IPython from Vim with tmux
- data science (jupyter notebooks) with vim?
- Nicer jupyter notebook workflow with neovim thanks to Jupytext and mini.ai
-
Is there anything like a running Jupyter Kernel LSP?
With stuff like https://github.com/dccsillag/magma-nvim or https://github.com/hanschen/vim-ipython-cell, I rarely never use a Jupyter notebook anymore.
-
Vim & Tmux for Python with figures
I like to use Vim and Tmux on Linux, however, for Python I often end up using the Spyder IDE as it has the convenient functionality of putting all the plots in one window and allowing me to scroll through it when I have multiple graphs for a script. I am aware of nice solutions like https://github.com/hanschen/vim-ipython-cell and https://gontcharov.be/blog/vim-tmux-python that allow one to use VIM and TMUX. This seems like an excellent solution, but I am missing the figure component. Anybody has a good suggestion for that?
-
jupyter and vim
I personally have vim (or neovim) and IPython open in two panes in tmux and then use my plugin vim-ipython-cell to run the code. It supports running code cells similar to what you have in Jupyter notebooks, so you can for example have one cell that reads the data and another cell to make the plot, and then just re-run the plotting part.
-
Help with setting up Vim for Python ๐๐ป
If you'd like a Jupyter Notebooks-like experience, where you execute one cell at a time and such, try these together: - https://github.com/hanschen/vim-ipython-cell - https://github.com/jpalardy/vim-slime - tmux or you could try using vim's builtin terminal, though it's a bit... unideal - ipython of course. It's way better for interactivity than python3
- Python devs out there: what are you using to get a jupyter notebook style experience?
- Please help a newbie understand your workflow (python)
-
Nbterm: Jupyter Notebooks in the Terminal
If you use vim, you can also try https://github.com/hanschen/vim-ipython-cell . It works quite well
jupytext.vim
-
Edit notebooks in Google cloud
I tried plugins like jupytext.vim but it was not enough mature in these old times :-)
-
Jupyter Notebooks in NeoVim. Any good way?
You can also use jupytext.vim to easily open and edit notebooks. Then you can use a REPL program to evaluate the different cells individually. The only downside to me is that you canโt save the output back to the notebook (images etc.).
-
jupyter and vim
Editing *.ipynb files can also be edited with jupytext.vim, which automatically converts *.ipynb files using jupytext which you open them in Vim. I haven't tried this yet (it's on my todo list), but it looks pretty solid.
-
Nbterm: Jupyter Notebooks in the Terminal
For editing notebooks in vim, I've created https://github.com/goerz/jupytext.vim. Note that this does not allow to run any cells, it just edits the inputs.
The motivation behind this was to have some basic interaction with existing ipynb files on a remote server without having to run the jupyter server (and set up port forwarding etc.) It's worth noting that the `jupytext.vim plugin is most useful if you're actually not running `jupytext` within jupyter; If you are, you could just directly open the .py or .md files linked to any .ipynb in your editor.
I've used `jupytext.vim` to edit existing notebooks and then run them through `jupyter nbconvert --to notebook --execute`. It's also great for refactoring: moving code from a notebook files into a module, between notebooks, or to create a new notebook as a variation of an existing one.
What are some alternatives?
nvim-ipy - IPython/Jupyter plugin for Neovim
jupyter-vim - Make Vim talk to Jupyter kernels
nbterm - Jupyter Notebooks in the terminal.
vim-slime - A vim plugin to give you some slime. (Emacs)
jupyter - An interface to communicate with Jupyter kernels.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
magma-nvim - Interact with Jupyter from NeoVim.
gnuplotlib - gnuplot for numpy