jupyterlab-git
livebook
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jupyterlab-git | livebook | |
---|---|---|
7 | 80 | |
1,391 | 4,410 | |
2.2% | 3.6% | |
7.9 | 9.8 | |
10 days ago | 3 days ago | |
TypeScript | Elixir | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
jupyterlab-git
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The Jupyter+Git problem is now solved
- GitHub PR code reviews with ReviewNB[4]
Alternatively, if you don't care about cell outputs then Jupytext[5]
Disclaimer: I built ReviewNB. It's a completely bootstrapped business, 5 years in the making and now used by leading DS teams at Meta, AWS, NASA JPL, AirBnB, Lyft, Affirm, AMD, Microsoft & more (https://www.reviewnb.com/#customers)
[1] https://github.com/jupyterlab/jupyterlab-git
I use this plugin for my jupyter notebook git integration. It has a git diff option that's useful but gets very slow for complex documents. Perhaps under the hood it's using one of the other tools mentioned in the postscript.
https://github.com/jupyterlab/jupyterlab-git
- Ask HN: Are there any good Diff tools for Jupyter Notebooks?
- Best extensions for JupyterLab!!
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Git extension for JupyterLab 3 released. Node/build step no longer needed (see updated install instructions). Adds commit & push, file browser context menu integration, Ctrl + enter to commit, "update diff" button and more!
Change log for this release: https://github.com/jupyterlab/jupyterlab-git/releases/tag/v0.30.0
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Recommendations for co-working on Jupyter Notebooks
Also there is an awesome jupyterlab-git extension.
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[D] Official Jupyter survey. How can Jupyter bet fit your workflow?
Official git extension https://github.com/jupyterlab/jupyterlab-git
livebook
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Super simple validated structs in Elixir
To get started you need a running instance of Livebook
- Arraymancer – Deep Learning Nim Library
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Setup Nx lib and EXLA to run NX/AXON with CUDA
LiveBook site
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Interactive Code Cells
I prefer functional programming with Livebook[1] for this type of thing. Once you run a cell, it can be published right into a web component as well.
[1] - https://livebook.dev
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What software should I use as an alternative to Microsoft OneNote?
If you're a coder, Livebook might be worth a look too. I certainly have my eyes on it.
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Advent of Code Day 5
Would highly recommend looking at Jose's use of livebook to answer these. It makes testing easier. It's old but still relevant. Video link inside
- Advent of Code 2023 is nigh
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Racket branch of Chez Scheme merging with mainline Chez Scheme
That's hard to say. Racket is a rather complete language, as is F# and Elixir. And F# and Racket are extremely capable multi-paradigm languages, supporting basically any paradigm. Elixir is a bit more restricted in terms of its paradigms, but that's a feature oftentimes, and it also makes up for it with its process framework and deep VM support from the BEAM.
I would say that the key difference is that F# and Elixir are backed by industry whereas Racket is primarily backed via academia. Thus, the incentives and goals are more aligned for F# and Elixir to be used in industrial settings.
Also, both F# and Elixir gain a lot from their host VMs in the CLR and BEAM. Overall, F# is the cleanest language of the three, as it is easy to write concise imperative, functional, or OOP code and has easy asynchronous facilities. Elixir supports macros, and although Racket's macro system is far more advanced, I don't think it really provides any measurable utility over Elixir's. I would also say that F# and Elixir's documentation is better than Racket's. Racket has a lot of documentation, but it can be a little terse at times. And Elixir definitely has the most active, vibrant, and complete ecosystem of all three languages, as well as job market.
The last thing is that F# and Elixir have extremely good notebook implementations in Polyglot Notebooks (https://marketplace.visualstudio.com/items?itemName=ms-dotne...) and Livebook (https://livebook.dev/), respectively. I would say both of these exceed the standard Python Jupyter notebook, and Racket doesn't have anything like Polyglot Notebooks or Livebook. (As an aside, it's possible for someone to implement a Racket kernel for Polyglot Notebooks, so maybe that's a good side project for me.)
So for me, over time, it has slowly whittled down to F# and Elixir being my two languages that I reach for to handle effectively any project. Racket just doesn't pull me in that direction, and I would say that Racket is a bit too locked to DrRacket. I tried doing some GUI stuff in Racket, and despite it having an already built framework, I have actually found it easier to write my own due to bugs found and the poor performance of Racket Draw.
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Runme – Interactive Runbooks Built with Markdown
This looks very similar to LiveBook¹. It is purely Elixir/BEAM based, but is quite polished and seems like a perfect workflow tool that is also able to expose these workflows (simply called livebooks) as web apps that some functional, non-technical person can execute on his/her own.
1: https://livebook.dev/
- Livebook: Automate code and data workflows with interactive notebooks
What are some alternatives?
jupyterlab-spreadsheet-editor - JupyterLab spreadsheet editor for tabular data (e.g. csv, tsv)
kino - Client-driven interactive widgets for Livebook
debugger - A visual debugger for Jupyter notebooks, consoles, and source files
awesome-advent-of-code - A collection of awesome resources related to the yearly Advent of Code challenge.
JupyterLab - JupyterLab computational environment.
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
nbdime - Tools for diffing and merging of Jupyter notebooks.
Genie.jl - 🧞The highly productive Julia web framework
jupyterlab-desktop - JupyterLab desktop application, based on Electron.
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
axon - Nx-powered Neural Networks