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. https://glam-workbench.net/getting-started-jlite/lab/index.html?path=using_jupyter_notebooks.ipynb

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

Jupyter Notebook là gì? 6 Lợi ích của Jupyter Notebook nên biết

Jupyter Notebook đã trở thành một công cụ không thể thiếu đối với các lập trình viên và nhà phân tích dữ liệu nhờ khả năng dễ dàng xây dựng và chia sẻ mã nguồn. Trong bài viết này, chúng ta sẽ cùng tìm hiểu về Jupyter và các thành phần của Jupyter Notebook, cùng khám phá lý do tại sao công cụ này lại nhận được sự yêu thích lớn trong cộng đồng khoa học dữ liệu và học máy.

Tìm hiểu ngay: https://interdata.vn/blog/jupyter-jupyter-la-gi/

Explore the National Gallery of Art’s Open Access dataset in #Jupyter with #Deno

https://blog.jupyter.org/exploring-open-access-art-using-the-deno-jupyter-kernel-da0ad084966e

#iden Quick-start verified: Creating and sourcing the #python and #rust virtual environments to compile and install, generating an identity, starting the pad manager, and how to import the library in a #jupyter notebook ready to write and read and poke at the test node.

https://github.com/stevenaleach/iden/blob/main/quickstart.md

I gave a talk on large-scale data visualization on the web at
the 3D on the web meetup last month at GDC, check it out
https://youtu.be/HzcFzCkt5aU?si=6pLmPO9JEPBfMQB1
to hear about what I'm up to with #WebGL #WebGPU #WebAssembly
#Jupyter and some challenges I'm working on that I'd love to chat about!

Pete Metcalfe shows you how to create a Julia graphical user interface, micro-web server, and charting apps that communicate with Raspberry Pi hardware
https://www.makerspace-online.com/julia-programming-language-on-a-raspberry-pi/?utm_source=mms
#Julia #languages #RaspberryPi #hardware #SBC #programming #DataScience #AI #Jupyter #Python #GUI

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
...

Excited to announce the release of the second cat2cloud introductory video!
Our software optimises file transfer and access for server-hosted data . cat2cloud's compression-first framework enables users to minimise transfer times and storage requirements .

In this video, you can see how easy and quick it is to manage file storage using the ubiquitous jupyter notebook format !
Find out more (and see the first video) at https://ironarray.io/cat2cloud!
#API #datascience #compression #jupyter

Quel #jupyter #notebook #jupyternotebook recommanderiez-vous sur #Android ?

Which #jupyter #notebook #jupyternotebook will you recommend on Android

Thank you

adding #hydra in #jupyter #notebooks

"#Geospatial #Python - Full Course for Beginners with #Geopandas"

https://www.youtube.com/watch?v=0mWgVVH_dos

#python is an interpreted language. The Python interpreter runs a program by executing one statement at a time. The standard interactive Python interpreter can be invoked on the command line with the python command

data analysis or scientific computing make use of IPython, an enhanced Python interpreter, or #jupyter notebooks, web-based code notebooks originally created within the IPython project.

Data analysis in Jupyter notebooks with... TypeScript?!
using `fetch` and other web standards
fast dataframes with nodejs-polars
easy charts with @observablehq
rich interactive UIs with JavaScript

Learn more in this detailed walkthrough
https://deno.com/blog/exploring-art-with-typescript-and-jupyter

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 https://bit.ly/jupytercon
Registration https://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! https://bit.ly/jconcfp

Am vorletzten Wochenende waren wir auf den #clt2025 . Hier ist unser Rückblick.

https://https://www.hostsharing.net/blog/2025/clt-2025/?mtm_campaign=m

Pierre-Antoine Bouttier & moi-même parlerons de #Jupyter au Café #Guix du jour.

https://hpc.guix.info/events/2024-2025/caf%C3%A9-guix/
aujourd’hui 25 mars, 13h