jupyter-book
awesome-python
| jupyter-book | awesome-python | |
|---|---|---|
| 15 | 86 | |
| 3,692 | 205,414 | |
| 0.8% | - | |
| 8.5 | 7.0 | |
| 7 days ago | 17 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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-book
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I don't always use LaTeX, but when I do, I compile to HTML (2013)
Sphinx supports ReStructuredText and Markdown.
MyST-Markdown supports MathJaX and Sphinx roles and directives. https://myst-parser.readthedocs.io/en/latest/
jupyter-book supports ReStructuredText, Jupyter Notebooks, and MyST-Markdown documents:
You can build Sphinx and Jupyter-Book projects with the ReadTheDocs container, which already has LaTeX installed: https://github.com/executablebooks/jupyter-book/issues/991
myst-templates/plain_latex_book:
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
your task is very very broad
you mention you don't want to deal with AWS, if it's because of ad-hoc installation concerns and nothing else you can just run your notebooks in ready-made solutions like Google Colab, or Jupyter-book in Github ( https://github.com/executablebooks/jupyter-book ))
that would cover a lot of use cases right away without next to no learning curve
If you don't want to deal with AWS or similar, in that case:
- if it's a static notebook then you can obviously render it and serve the web content (might seem obvious but needs to be considered)
- if it's dynamic but has light hardware requirements, you can try jupyterlite which runs in the browser and should do a pyodine (webassembly CPython kernel) can do: https://jupyterlite.readthedocs.io/en/latest/try/lab/
- otherwise, you can try exposing a dockerised jupyter env ( as in https://github.com/MKAbuMattar/dockerized-jupyter-notebook/b... ) or even better a nixified one ( https://github.com/tweag/jupyenv )
there might be other approaches I'm missing, but I think that's pretty much it that doesn't entail some proprietary solution or an ad-hoc installation as you've been doing
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How to raise the quality of scientific Jupyter notebooks
Note: If you want to present a cleaner version of the notebook without assertions, you can use Jupyter book to render it into a site and use the remove-cell tag to omit assertions from the output.
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Sunday Daily Thread: What's everyone working on this week?
See this thread for example.
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Are there any frameworks/methodologies/libraries that can help to create a PDF printable professionally looking written report?
And maybe take a look at executablebooks/jupyter-book.
- [P] I Made An Easy-To-Use Python Package That Creates Beautiful Html Reports From Jupyter Notebooks
- RStudio Is Becoming Posit
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Python toolkits
Our team has transferred from Sphinx for documentation to JupyterBook. There have been some growing pains with it but I prefer the look of the output and being able to play with the examples on Colab or Binder at the click of a button is a great feature.
- Ask HN: Tools to generate coverage of user documentation for code
- Why does [::-1] reverse a list?
awesome-python
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Top 10 GitHub Repositories for Python and Java Developers
8. Vinta/Awesome-python - This repository is a curated list of top Python frameworks, libraries, and tools for a variety of purposes. It's a must-visit for any developer looking to expand their Python skills and discover new resources. https://github.com/vinta/awesome-python
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How I do technology watch
Python: https://github.com/vinta/awesome-python
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
6) Awesome Python: Embrace the power of Python with this extensive collection of awesome libraries, frameworks, resources, and software. Whether you're a seasoned Pythonista or just starting your journey, this repository is your ultimate guide to maximizing the potential of this versatile language. (https://github.com/vinta/awesome-python)
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Good coding groups for black women?
- https://github.com/vinta/awesome-python
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Awesome Python
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources
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10 Github repositories to achieve Python mastery
Explore here.
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Alternatives?
I know of curated lists like https://github.com/vinta/awesome-python but they are nowhere close to alternativeto.net in terms of information (relations) and community involvement.
- Help me out.
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Ask HN: Best place/resource to learn metaprogramming in Python
https://github.com/vinta/awesome-python
What are some alternatives?
Spyder - Official repository for Spyder - The Scientific Python Development Environment
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
sphinx-thebe - A Sphinx extension to convert static code into interactive code cells with Jupyter, Thebe, and Binder.
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
MyST-Parser - An extended commonmark compliant parser, with bridges to docutils/sphinx
Pyadomd - A pythonic approach to query SSAS data models.
quarto-cli - Open-source scientific and technical publishing system built on Pandoc.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
heron
Box - Python dictionaries with advanced dot notation access