nbstripout
clerk
nbstripout | clerk | |
---|---|---|
4 | 22 | |
1,147 | 1,698 | |
- | 0.8% | |
7.6 | 8.5 | |
about 2 months ago | 9 days ago | |
Python | Clojure | |
GNU General Public License v3.0 or later | ISC 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.
nbstripout
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Tips for using Jupyter Notebooks with GitHub
If you'd like to automatically remove empty / tagged cells or retroactively apply this filter to your git history, you can read the nbstripout documentation on GitHub.
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
I used something as a precommit hook in the past that remove plots and other rendered content and only kept text and code in git index. I'm almost sure it was https://github.com/kynan/nbstripout but it's been a while and I could be wrong.
Once the hook was in place git diff worked well enough to not need any other diffing tool.
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Notebooks suck: change my mind
As far as versioning, I use nbstripout (notebook strip out) I think there are alternatives too.
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NumPy 1.20 Released
You can use it with source control, I do it for about 18 notebooks I use on a daily basis:
https://github.com/kynan/nbstripout
clerk
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The Current State of Clojure's Machine Learning Ecosystem
Something I really like in the Clojure data science stack that isn't mentioned is Clerk* — an interesting take on notebooks. I think it's a good gateway into Clojure for those coming from a Python or R background.
*https://clerk.vision/
- Improve Jupyter Notebook Reruns by Caching Cells
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
Clerk: https://github.com/nextjournal/clerk
- Moldable Live Programming for Clojure
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Morse, an open-source interactive tool for inspecting Clojure
I'm really enjoying using Clojure with Clerk: https://github.com/nextjournal/clerk
It's a bit like a Jupyter notebook, but you get to use your own editor, you still have a normal Clojure REPL, it's stored in git like "normal" code, etc.
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Adding Clerk to a Leiningen Project
Hey all, I'm new to Clojure and would appreciate your help with a few questions I had getting started. I'm using Leiningen to setup my projects and manage my packages as recommended in Brave & True. So far I've been able to add any dependencies I've needed without much issue, Neanderthal, tech.v3.dataset, etc. I'm interested in data science, and was hoping to set up a notebook environment to be able to quickly produce data visualizations on the fly since I'm used to working with Jupyter. I came across Clerk, but I'm having some trouble adding it to my project. Here's what I tried:
- Clojure Turns 15 panel discussion video
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The program is the database is the interface
Clojure also has Clerk, which is like Jupyter, but more befitting Clojure's overall philosophy: https://clerk.vision/
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Clojure conventions for writing complicated mathematical calculations?
If I were working long enough with gnarly enough equations I'd look into using Clerk to visualize the equations with MathJax or similar, probably following Sam Ritchie's footsteps with SICMUtils. To me this is the true readability answer: lisp notation for precise implementations, compiling to a rich & familiar visual representation.
What are some alternatives?
vscode-jupyter - VS Code Jupyter extension
next-auth - Authentication for the Web.
nbdime - Tools for diffing and merging of Jupyter notebooks.
portal - A clojure tool to navigate through your data.
pluggy - A minimalist production ready plugin system
libpython-clj - Python bindings for Clojure
Jupyter Notebook (IPython) - Multi-user server for Jupyter notebooks
pytudes - Python programs, usually short, of considerable difficulty, to perfect particular skills.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
leo-editor - Leo is an Outliner, Editor, IDE and PIM written in 100% Python.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
JD Esurvey - JD eSurvey is an open source enterprise survey web application written in Java and based on the Spring Framework. Check out the tutorial videos to find out more about the application features.