jupytext.vim
vnlog
jupytext.vim | vnlog | |
---|---|---|
4 | 24 | |
294 | 158 | |
- | - | |
4.4 | 5.7 | |
7 months ago | 9 days ago | |
Vim Script | Perl | |
MIT License | - |
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jupytext.vim
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Edit notebooks in Google cloud
I tried plugins like jupytext.vim but it was not enough mature in these old times :-)
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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.).
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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.
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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.
vnlog
- Vnlog: Process labelled tabular ASCII data using normal Unix tools
- Process tabular data with Unix tools
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Qsv: Efficient CSV CLI Toolkit
For simple analyses (i.e. what most people do most of the time) doing this on the commandline gets you there faster. I use vnlog (https://github.com/dkogan/vnlog/). By the time you fired up your editor to write your Python code, I already have analyses and plots ready.
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Joining CSV Data Without SQL: An IP Geolocation Use Case
Alternative very appropriate for some uses cases: `vnl-join` from the vnlog toolkit (https://github.com/dkogan/vnlog). Uses the `join` tool from coreutils (works well, has been around forever), and `vnlog` for nice column labelling
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Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
There's also https://github.com/dkogan/vnlog/ which is a wrapper around the existing coreutils, so all the options work, and there's nothing to learn
- vnlog: making awk and sort and join (and friends) smarter
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Awk equivalents to SQL query data manipulation
And to improve the ergonomics, the vnlog wrappers are available to operate on field names, while retaining the internals of the core tools:
https://github.com/dkogan/vnlog/
- Vnlog: Making Awk, grep, sort and join smarter
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Learn to Process Text in Linux Using Grep, Sed, and Awk
I sorta, kinda agree. Tools written in AWK (and friends) are indeed somewhat unmaintainable, but they're really close to being just right for a LOT of applications. The vnlog toolkit (https://github.com/dkogan/vnlog) adds just a little bit of syntactic sugar to the usual commandline tools to make processing scripts robust and easy to read and write. This was not my intent initially, but I now do most of my data processing with the shell and vnl-wrapped awk (and sort and join, ...) It's really nice. If you write stuff in awk, you should check it out. (Disclaimer: I'm the author)
- Extending Awk with Field Labels
What are some alternatives?
vim-ipython-cell - Seamlessly run Python code in IPython from Vim
ttyplot - a realtime plotting utility for terminal/console with data input from stdin
jupyter-vim - Make Vim talk to Jupyter kernels
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization ๐๐พ
nbterm - Jupyter Notebooks in the terminal.
RecordStream - commandline tools for slicing and dicing JSON records.
jupyter - An interface to communicate with Jupyter kernels.
nvim-ipy - IPython/Jupyter plugin for Neovim
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
matplotlib - C++ wrappers around python's matplotlib
feedgnuplot - Tool to plot realtime and stored data from the commandline, using gnuplot.