101010.pl is one of the many independent Mastodon servers you can use to participate in the fediverse.
101010.pl czyli najstarszy polski serwer Mastodon. Posiadamy wpisy do 2048 znaków.

Server stats:

487
active users

#jupyter

1 post1 participant0 posts today

Server #Update / #Upgrade Day
- update my #Linux server OS #OpenSUSE Leap 15.6
- upgrade #Nextcloud from 30.0.7 to 30.0.12 and then 31.0.6
- upgrade #Redis for Nextcloud from 7 to 8
- learn that I have to dump/restore to upgrade #PostgreSQL and upgrade from 12 to 17
- upgrade #Traefik from 2.10.7 to 3.4.3
- upgrade #Vaultwarden to newest version
- deactivated #Quassel and #Jupyter since I didn't use them for at least 4 years
- clean up old #Docker images and containers to free some disk space

One of the things I love about Obsidian is that you have total control over how things are styled. Don't like the default way HTML comments are rendered? No problem — a tiny bit of custom CSS will fix that. Now we have nicely styled inline comments that will appear only in the draft.

And yes, I may or may not be writing a new book! I can neither deny, nor confirm that. Stay tuned for more 😜


#obsidian #jupyter

Since I just stumbled across this: If you need to get the path of the ipynb file in a running #Jupyter notebook, this one-liner will do the trick. It seems chatgpt is confused, and a bunch of other approaches on the web look fragile and/or unnecessarily complex to me.

import sys
Path(json.loads(Path(sys.argv[-1]).read_bytes())['jupyter_session'])

🎉 JupyterLite 0.6 is now available!

Coming with exciting new features:

✨ Interactive input() support (useful for teaching Python)
🔄 New REPL options
🎯 Better kernel status and logs
🧹 Easier browser data management
⚡️ Improved multi-tab support and storage isolation

Check out the blog post and walkthrough video:

➡️ blog.jupyter.org/jupyterlite-0
➡️ youtube.com/watch?v=jkQ9ORG5qA

Thanks @QuantStack, Bloomberg, CourseKata and all the contributors!

Jupyter Blog · JupyterLite 0.6.0 is released! 🎉 - Jupyter BlogBy Jeremy Tuloup
Replied in thread

@menelion n asterisks are n-th level headings (1 to 6).

Lists are specified using a hyphen


This would render perfectly well in Org:

* Eins
- list item inside eins
- something else
** Zwei
- list item 1 inside Zwei
- item 2
- item 3

Honestly,
#Orgmode is also easier than #Markdown. Just like Markdown, #LaTeX support is built into the language.

I've written scientific papers and whatnot using
#Org mode. My static website is published using #Hugo, which supports Org OOTB (if not for this, I'd be using #Zola or #Astro)... With #orgroam I can organize my notes using the #zettelkasten method and view notes on a graph à la #Obsidian. Note that #OrgRoam is the objectively superior #Obsidian alternative, just as #Orgmode itself blows Markdown out of the water.

How could I forget literate configs? Computational notebooks are a GODSEND. Imagine a file that acts very much like a
#Jupyter #Notebook (graph support etc is taken care of thanks to #Emacs). Imagine an entire Jupyter Notebook sent in a simple text-ready file.

It's totally possible to open an Org notebook in a plain text editor, make changes and send it to peers. If they have Emacs open they can also execute the notebook just like they would with a Jupyter Notebook. Results are displayed (by default) in-place too.

I invite
@publicvoit to share his opinions 😉

[Перевод] Jupyter-Ascending — новый способ работы с Jupyter Ноутбуками в Emacs

Вы обожаете Emacs, но вам необходимо работать с Jupyter ноутбуками? Данная статья расскажет еще об одном способе, как их подружить. Заходите под кат =)

habr.com/ru/articles/910812/

ХабрJupyter-Ascending — новый способ работы с Jupyter Ноутбуками в Emacs05 мая 2025 года Duncan Britt публиковал статью о том, как можно работать с Jupyter ноутбуками в Emacs. Он создал пакет Jupyter-Ascending , чтобы упростить редактирование и выполнение Python кода в...

#Pikchr (pikchr.org) is a great little piece of software from the SQLite folks. It parses a little language for describing diagrams with boxes and lines and things, and puts out SVG.

#OrgMode (orgmode.org) has, among many other things, a way you can make code notebooks, #OrgBabel. Like #Jupyter, but less webby, and inside #Emacs, and supporting many languages - even multiple in the same document - thence its name.

Thanks to the ob-pikchr package by @SReyCoyrehourcq, Pikchr is one of the languages you can just write in the middle of your document this way.

Pikchr supports #darkmode, and I've just made a pull request that gets ob-pikchr in on the dark-mode game.

github.com/reyman/ob-pikchr/pu

Many thanks to Sebastien for the help ob-pikchr has provided in diagramming my thoughts! You go use it too!

GitHubadd dark mode support by jaredjennings · Pull Request #1 · reyman/ob-pikchrBy jaredjennings

I've created a Jupyter Lite version of the #GLAMWorkbench's 'getting started' notebook. It shows you how Jupyter notebooks work, with live examples that download data from the NMA collection API. glam-workbench.net/getting-sta

Jupyter Lite runs in your browser, so there's no waiting for Binder or any cloud service to start up. #GLAM #jupyter

glam-workbench.netJupyterLiteWASM powered Jupyter running in the browser.

Just had an Oh My F***ing Gosh #Jupyter #Python moment:

Starting to think of demo notebooks and hacked together a "show_page()" function to display an iframe with a webpage in it.

I *thought* I was just fetching and showing rendered HTML and was fine with that.

Then I clicked the home link and discover that I'm actually embedding live little web windows in my notebooks....

Wait, What, Wow How?

Never knew ipthon.display was that friggin awesome and cool.

Debugging a complex Python library via a Jupyter notebook is unfairly good tech, yinz.

Now that I've tried it, I can't go back.

My favorite part of this exercise?

Testing the fix in-place by copying the broken method out of the class, editing it, monkey-patching it back into the class definition, and then re-running the small verification setup I threw together in Jupyter. Newly-created class instances are using the new method and the flow goes from "Busted" to "Working."

(Plus, Jupyter supports matplotlib output, which is huge when what I'm debugging is fundamentally geometric in nature).

I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like

- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...

JupyterCon 2025 is happening!

We're excited to host this year's JupyterCon in sunny San Diego, California, from November 3–6, 2025. From its beginnings as IPython in 2001, Project Jupyter has grown to a global scale platform with millions of *.ipynb files on GitHub (not all of which are named Untitled.ipynb!). The Jupyter ecosystem has transformed data science, scientific research, and education and has shaped the way a generation of developers and scientists develop their workflows.

Learn more about JupyterCon 2025 bit.ly/jupytercon
Registration bit.ly/jconreg

We're seeking proposals for Presentations (Talks), Tutorials, Group Sessions (Workshops, Birds-of-a-Feather, Symposia), and Posters. Topics can include: Data Science; Community; Research and Scientific Discovery; Education; and Jupyter Infrastructure.

Submit your idea today! bit.ly/jconcfp

LF EventsJupyterCon | LF EventsDiscover the future of data science with hands-on training, visionary keynotes, innovative tools, and insights from top Jupyter contributors.