jupyter-vim-binding
ipyflow
jupyter-vim-binding | ipyflow | |
---|---|---|
5 | 20 | |
1,921 | 1,079 | |
- | 1.0% | |
0.0 | 9.5 | |
over 3 years ago | 3 days ago | |
JavaScript | Python | |
- | BSD 3-clause "New" or "Revised" 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.
jupyter-vim-binding
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Show HN: Marimo – an open-source reactive notebook for Python
I already use jupytext to store notebooks as code but the improved state management and notebook-as-app features are pretty compelling and I'm trying it out.
Unfortunately, I'm quite used to very specific vim keybindings in Jupyter (https://github.com/lambdalisue/jupyter-vim-binding) that make it pretty hard to use anything else :/
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
On the on hand: cool, if you're an avid emacsen or a vimmer, yeah, ok. OTOH, gosh that is such a cluttered and cumbersome setup. Just bring in vim/emacs bindings to your jupyter: https://github.com/lambdalisue/jupyter-vim-binding. There's a handful of plugins, choose one.
Whatever the final solution everyone decides should be, I just hope it doesn't involve having two redundant windows open side-by-side like that.
- Using Neovim in place of Jupyter notebooks
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How do you use Jupiter notebooks without wanting to rip your eyes out?
Use jupyter-vim-bindings! Works really well!! https://github.com/lambdalisue/jupyter-vim-binding
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Better editor for jupyter notebook
Also, you can check out the vim key-binding extension if you are a loyal vim user like me! https://github.com/lambdalisue/jupyter-vim-binding
ipyflow
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Show HN: Marimo – an open-source reactive notebook for Python
You're probably referring to nbgather (https://github.com/microsoft/gather), which shipped with VSCode for a while.
nbgather used static slicing to get all the code necessary to reconstruct some cell. I actually worked with Andrew Head (original nbgather author) and Shreya Shankar to implement something similar in ipyflow (but with dynamic slicing and a not-as-nice interface): https://github.com/ipyflow/ipyflow?tab=readme-ov-file#state-...
I have no doubt something like this will make its way into marimo's roadmap at some point :)
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React Jam just started, making a game in 13 days with React
Np.
From https://news.ycombinator.com/context?id=35887168 re: ipyflow I learned about ReactiveX for Python (RxPY) https://rxpy.readthedocs.io/en/latest/ .
https://github.com/ipyflow/ipyflow :
> IPyflow is a next-generation Python kernel for Jupyter and other notebook interfaces that tracks dataflow relationships between symbols and cells during a given interactive session, thereby making it easier to reason about notebook state.
FWIU e.g. panda3d does not have a react or rxpy-like API, but probably does have a component tree model?
https://news.ycombinator.com/item?id=38527552 :
>> It actually looks like pygame-web (pygbag) supports panda3d and harfang in WASM
> Harfang and panda3d do 3D with WebGL, but FWIU not yet agents in SSBO/VBO/GPUBuffer
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The GitHub Black Market That Helps Coders Cheat the Popularity Contest
> Another giveaway is the ratio of stars to watchers / forks. I remember one project with thousands of stars but only 10 users "watching" it. They went on to raise a sizable seed round too.
Not necessarily indicative of foul play. I have two projects like this (https://github.com/smacke/ffsubsync and https://github.com/ipyflow/ipyflow) and I attribute it to not having great developer documentation.
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Python 3.12
It's not in the highlights, but one of the things that excites me most is this: https://docs.python.org/dev/whatsnew/3.12.html#pep-669-low-i...
> PEP 669 defines a new API for profilers, debuggers, and other tools to monitor events in CPython. It covers a wide range of events, including calls, returns, lines, exceptions, jumps, and more. This means that you only pay for what you use, providing support for near-zero overhead debuggers and coverage tools. See sys.monitoring for details.
Low-overhead instrumentation opens up a whole bunch of interesting interactive use cases (i.e. Jupyter etc.), and as the author of one library that relies heavily on instrumentation (https://github.com/ipyflow/ipyflow), I'm very keen to explore the possibilities here.
- Excel Labs, a Microsoft Garage Project
- GitHub - ipyflow/ipyflow: A reactive Python kernel for Jupyter notebooks
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IPython kernel alternatives
You’re looking for reactive kernels: https://github.com/ipyflow/ipyflow
- IPyflow: Reactive Python Notebooks in Jupyter(Lab)
What are some alternatives?
firenvim - Embed Neovim in Chrome, Firefox & others.
elyra - Elyra extends JupyterLab with an AI centric approach.
nvim-ipy - IPython/Jupyter plugin for Neovim
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
euporie - Jupyter notebooks in the terminal
osxphotos - Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
nopdb - NoPdb: Non-interactive Python Debugger
jupyterlab-vim - :neckbeard: Vim notebook cell bindings for JupyterLab
subtls - A proof-of-concept TypeScript TLS 1.3 client
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
quarto-cli - Open-source scientific and technical publishing system built on Pandoc.