A new look! We have created a new version of The Fuzzing Book, based on #JupyterBook, bringing
* easier navigation
* dark mode
* search
* mobile layout
and lots of other features. Check it out at https://www.fuzzingbook.org/beta/html/index.html
Should we continue with this new look? Comments are welcome!
My open source library for creating interactive questions in Jupyter notebooks and Jupyter Book is now used in over 200 other projects!
jupyterlab-myst has bug) or #Quarto (focus on websites instead of PDF). Here is how I did this:@AdiSlavcheva @openaccessnetwork Vielen Dank für's Teilen! Habt ihr auch Erfahrungen mit dem #JupyterBook Format? Das verwenden hier in den Niederlanden bereits einige technische Unis für die #OER Erstellung und meine Uni möchte auch gerne eine Instanz aufsetzen. Ich würde gerne probieren, meine Lehrmaterialien für den Textanalyse Kurs in dieser Form zu veröffentlichen, und ich bin noch auf der Suche nach "best practices", besonders für Inhalte aus den (digitalen) #Geisteswissenschaften.
The fastest "solution" is to use mermaid.live to save a .png of the diagram, and include the .png itself in the #JupyterBook.
Works for HTML and exports nicely to PDF, but it slightly defeats the point of using #mermaid for programmable diagrams...
Unfortunately I already ran into my first "bummer" with Mermaid.
The diagrams render nicely in the HTML version of the @ProjectJupyter #JupyterBook, but we did not get the export to PDF (via HTML and pyppeteer) to work 😩 .
Today I finally gave Mermaid.js a try, with it's online diagram editor and the direct inclusion in MarkDown.
What a life-changer for my #JupyterBook documentation !
MyST Markdown is soaring with 350,000 monthly downloads!
Lots of data scientists and researchers are now able to author better scientific and technical documents — FASTER — thanks to MyST. #MySTMarkdown #JupyterBook #OpenSource
https://executablebooks.org/en/latest/blog/2023/new-project-members/
Do you know the executable books project?
I didn't know it until now, but it looks really interesting, paired with MyST, which extends Markdown for technical, scientific
communication and publication.
Just in case you are looking for open source tools that facilitate publishing computational narratives using the Jupyter ecosystem.
Hello. Can I reach people using #JupyterBook to create online teaching resources or technical documents?
https://jupyterbook.org/en/stable/intro.html
I am interesting in the process of creating PDFs from the JupyterBook.
📢 We released new version of #MarkdownSQL Pro Tools. New features:
✅ SQL code block highlights & selections
✅ Detection of %%sql magic code blocks & %sql magic code lines
✅ New #SQLBookmarks 📑
✅ New Extract All SQL code lens
✅ MyST #JupyterBook markdown documents support
✅ SQL code lenses for #Quarto, #Rmarkdown, and #ObservableJS docs
Docs and new demos at:
📰 ⮚ https://randomfractals.github.io/pro-data-tools/#markdown-sql-pro-tools
These tools are free today, for one day only. Sign up to try them out!
💖 ⮚ https://github.com/sponsors/RandomFractals/sponsorships?tier_id=295482
Using #MarkdownSQLPro Tools 🛠️ with new #SQLBookmarks 🔖, #SQLite & our #DuckDBPro #SQLTools in #VSCode IDE on @ploomber's #JupySQL #JupyText / #MyST #JupyterBook 📓 markdown docs 😎
#SQL #DuckDB #Markdown #ProDataTools 🧙♂️ ...
Same #JupySQL Intro #JupyterBook 📓 markdown document in #VSCode IDE with the added top level Execute All, Select All, Extract All SQL code lenses, and Execute, Select, Copy and Create SQL code lenses in the code cells with %%sql #SQLMagics:
#MarkdownSQLProTools 🧙♂️ ...
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
I would like to include structured metadata as JSON-LD in a JupyterBook, e.g. following the https://bioschemas.org/profiles/TrainingMaterial/1.0-RELEASE schema. But JB and Sphinx seem to only support very limited metadata.
Does anyone have experience with this?
The beginnings of an introduction for the #TroveDataGuide. Still figuring out a few #JupyterBook things. https://wragge.github.io/trove-data-guide/introduction.html
Pour pas que @poulmairecharles me grille en train de jouer sur la #fcen, j'ai joué sur #Framagit et j'ai produit https://framagit.org/lamadone/informatique/premiere-nsi/-/commit/1b5ce78c670d54b67d586ebcfa24c08a2493ba94
En gros, on peut instancier un service #kroki/#mermaid dans un build dockerisé, utilisable sans dépendre du service externe.
Je ne sais pas si vous me suivez, mais moi, je suis fier de moi et ça me suffit.
https://volodymyrpavlyshyn.medium.com/turn-code-samples-into-an-executable-book-with-jupyter-book-783e84bf9f5f small guide to #selfpublishing. I turn code samples to a executable book #jupyter #jupyterbook
@jfmay Thanks for your experience and resources. I do something similar with #JupyterBook and #github (and I am happy to see I could do the same on #gitlab).
Currently, each section has a 2.5-hour lecture each week, where I mix topic introductions and applications.
I want to move topic introductions to a video students watch before class, allowing meetings to focus on applications (i.e., working through notebooks full of exercises).
