home.social

#jupyternotebooks — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #jupyternotebooks, aggregated by home.social.

  1. Welcome to the Python Data Science #Handbook, a tome so groundbreaking it repeats its own title THREE times before even mentioning content. 📚🤯 Dive into this endless loop of Jupyter notebooks and licenses, because nothing says "data science" like recursively congratulating yourself on #GitHub. 😂👍
    jakevdp.github.io/PythonDataSc #PythonDataScience #JupyterNotebooks #DataScience #Humor #HackerNews #ngated

  2. In June we run a 1-week hackathon @geo_wiki entitled "GEO-OPEN-HACK-2024: Big Geospatial Data Hackathon with Open Infrastructure and Tools". The videos from the workshop are now available for watching from: youtube.com/playlist?list=PLXU

    Many thanks to all presenters and especially to @pangeo_data
    @SURF and Spatial-ecology
    This event was sponsored by the project / Horizon Europe @REA

  3. #semanticClimate - in Feb we had 35 Workshop members join a sprint to document the use of #colab #jupyternotebooks for automated literature reviews - great work #NIPGR - in April we'll release the Notebooks used and carry out some more sprints to bed down the workflow

  4. Publishing computational notebooks and AGU NotebooksNow - listen in to @rowan when he sat down to chat Open Science with AGU TV last week #AGU23 @theAGU

    #publishing #jupyternotebooks #scicomm #openresearch

    youtube.com/watch?v=rOB6qjlXqA

  5. Tomorrow night, learn about . Our speaker, Kevin Bird, is a contributor to the community, and will show us how notebooks could transform your development. This is a free event at the Public Library (Central Branch), & is open to all skill levels. There will be free pizza 🍕!

    meetup.com/madison-python/even

    Stick around after, and join me in pressuring Kevin to leave the bird site and join us here in the fediverse 😆

  6. Our latest blog post explains how to integrate deepset's , an open-source framework for building NLP systems, with and .

    Discover how the JupySQL Agent leverages the power of GPT-4 to convert natural language queries into queries for seamless database access. The secret ingredient: the JupySQLQuery subclass, enabling SQL queries in Haystack pipelines within your Jupyter notebook environment.

    Read more here: tinyurl.com/haystack-jupysql

  7. While you are at it, #MystMarkdown is remarkably easy to set up and use. If you have used #Rmarkdown, the usage will be similar but uber powerful when you work with #JupyterNotebooks and #JupyterLab.

    RE:
    https://fosstodon.org/users/myst_tools/statuses/110387687231257045

  8. While you are at it, #MystMarkdown is remarkably easy to set up and use. If you have used #Rmarkdown, the usage will be similar but uber powerful when you work with #JupyterNotebooks and #JupyterLab.

    RE:
    https://fosstodon.org/users/myst_tools/statuses/110387687231257045

  9. In two weeks we will be giving a talk on @myst_tools at #JupyterCon, showing off some of the new ways to integrate interactive tools into publishing workflows.

    A video showing interactive #JupyterNotebooks integrated into your published articles. 🚀

    youtube.com/watch?v=Y5KuIskstB

  10. #LoveData23
    workshop:
    Computational Approaches for Text
    at Sherman Center of Digital Scholarship
    #OpenRefine #jupyterNotebooks #NLP
    very interesting and excellent unfolded by Devon and Jay 😊