quarto-cli
ipyflow
quarto-cli | ipyflow | |
---|---|---|
8 | 20 | |
3,304 | 1,079 | |
3.5% | 0.5% | |
10.0 | 9.5 | |
6 days ago | about 18 hours ago | |
JavaScript | Python | |
GNU General Public License v3.0 or later | 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.
quarto-cli
- FLaNK AI Weekly 18 March 2024
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Quarto
Hello, I have a rather specific question.
I want to write a detailed tutorial (as HTML page) and a condensed version of it (as Reveal JS slides) from a single document.
I have found this suggestion[1] to specify the separate output file name for the slides in the header, and `quarto render myfile.qmd` will generate both.
Is there a way to include content (long form text, code, or images) that will only be exported in the HTML page but not in the slides (where space is more limited)?
[1] https://github.com/quarto-dev/quarto-cli/discussions/1751
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Running Quarto Markdown in Docker
❯ docker build -t cavo789/quarto . [+] Building 208.2s (13/13) FINISHED docker:default => [internal] load .dockerignore 0.0s => => transferring context: 2B 0.0s => [internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 2.08kB 0.0s => [internal] load metadata for docker.io/eddelbuettel/r2u:20.04 3.4s => CACHED [ 1/10] FROM docker.io/eddelbuettel/r2u:20.04@sha256:133b40653e0ad564d348f94ad72c753b97fb28941c072e69bb6e03c3b8d6c06e 0.0s => [ 2/10] RUN set -e -x && apt-get update && apt-get install -y --no-install-recommends pandoc pandoc-citeproc curl gdebi-core librsvg2-bin python3.8 47.6s => [ 3/10] RUN set -e -x && install.r shiny jsonlite ggplot2 htmltools remotes renv knitr rmarkdown quarto 27.2s => [ 4/10] RUN set -e -x && curl -o quarto-linux-amd64.deb -L https://github.com/quarto-dev/quarto-cli/releases/download/v1.4.529/quarto-1.4.529-linux-amd64.deb && gdebi - 12.1s => [ 5/10] RUN set -e -x && groupadd -g 1000 -o "quarto" && useradd -m -u 1000 -g 1000 -o -s /bin/bash "quarto" 0.5s => [ 6/10] RUN set -e -x && quarto install tool tinytex --update-path 23.0s => [ 7/10] RUN set -e -x && printf "\e[0;105m%s\e[0;0m\n" "Run tlmgr update" && ~/.TinyTeX/bin/x86_64-linux/tlmgr update --self --all && ~/.TinyTeX/bin/x86_64-linux/fm 77.9s => [ 8/10] RUN set -e -x && printf "\e[0;105m%s\e[0;0m\n" "Run tlmgr install for a few tinyText packages (needed for PDF conversion)" && ~/.TinyTeX/bin/x86_64-linux/tlmgr 11.7s => [ 9/10] RUN set -e -x && mkdir -p /input 0.5s => exporting to image 4.0s => => exporting layers 4.0s => => writing image sha256:fe1d20bd71a66eb574ba1f5b35c988ace57c2c30f93159caa4d5de2f8c490eb0 0.0s => => naming to docker.io/cavo789/quarto 0.0s What's Next? View summary of image vulnerabilities and recommendations → docker scout quickview
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Quarto document rendered via quarto::quarto_render(): How to implement citations?
I had some trouble following this but I think what you're saying is the ` [@Bernhofer2021.02.23.432527]` tag isn't getting converted to the actual bib reference - is that right? I just copied this into my system and I could make that part work fine - using my own .bib file of course, and I used this csl which I copied locally. The one change I made to the setup was to put both the .bib and the .csl file in my working directory where the .qmd file is, and also as I commented on a different post of yours from the other day, I make sure there's no spaces in the path to my working directory (for either the folder names or the filenames). So for me, everything is in C:\Users\xxxx\workingdir - this is due to a known RStudio issue with spaces. Who knows if that's what you're running into or not.
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Quarto: Mermaid rendering in word: code-execution halts after format is generated, waiting indefinitely for a chrome-process to close
You should ask in the Quarto discussion group on their GitHub. They are extremely reactive if you can give a MWE.
- quarto-cli: Open-source scientific and technical publishing system built on Pandoc.
- The Jupyter+Git problem is now solved
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?
jupyter-book - Create beautiful, publication-quality books and documents from computational content.
elyra - Elyra extends JupyterLab with an AI centric approach.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
jupyterlab-git - A Git extension for JupyterLab
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.
github-orgmode-tests - This is a test project where you can explore how github interprets Org-mode files
nopdb - NoPdb: Non-interactive Python Debugger
jupyter - An interface to communicate with Jupyter kernels.
subtls - A proof-of-concept TypeScript TLS 1.3 client
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
bokeh - Interactive Data Visualization in the browser, from Python