Anyone using #JupyterHub (services.jupyterhub.enable=true) on :nixos: #NixOS? Then you should have run into the database migration issue here:

https://discourse.nixos.org/t/jupyterhub-database-migration/65203

I'd appreciate any help. 🙏

I just killed our last #JupyterHub #GKE Project in my $DAYJOB. Our #Jupyter compute environments are now all fully on prem.

#Python #DataScience #Kubernetes #Baremetal #RStats #RStudio

You know what would be beyond awesome? If there were some way to hook #geany into #JupyterHub via the Jupyter-server-proxy and run geany in a notebook from a browser.

PowerShell Collaboration Unleashed: Setting Up The Littlest JupyterHub (.NET 9 update) http://dlvr.it/THtCVB via PlanetPowerShell #PowerShell #JupyterHub #Collaboration #DotNet9

PowerShell Collaboration Unleashed! [OC] http://dlvr.it/TGp1sR via PlanetPowerShell #PowerShell #JupyterHub #Collaboration #Scripting

PowerShell Collaboration Unleashed: Setting Up The Littlest JupyterHub http://dlvr.it/TGhgf3 via PlanetPowerShell #PowerShell #JupyterHub #Collaboration #DataScience

PowerShell Collaboration Unleashed: VM Setup for The Littlest JupyterHub http://dlvr.it/TGhDzL via PlanetPowerShell #PowerShell #JupyterHub #VMSetup #Collaboration

Mit dem digitalen Tool #JupyterHub können Studierende an der #UniBremen direkt im Browser programmieren, Inhalte visualisieren und Daten analysieren. Lehrende haben so die Möglichkeit, ihre Seminare in einem digitalen Raum vorzubereiten und den Studierenden zur Verfügung zu stellen. Mehr über das Projekt erfahrt ihr in #Up2DateUniBremen:

https://up2date.uni-bremen.de/artikel/jupyterhub-an-der-uni-bremen-mehr-digitale-moeglichkeiten-im-studium

#Programmieren #Informatik #Lehre

Conversations this evening have got me thinking about possibly writing a #JupyterHub integration for #CollaboraOffice 🤔.

I'm a little surprised it doesn't already exist. Being able to output python/R generated charts, etc into a document or read and process document form data en masse all seem like good potential use cases for it.

Finally making progress on running Jenkins #podman jobs in #Kubernetes. The latter is most of the complication. Doing podman in Kubernetes is not yet for the faint of heart, but definitely possible. If you just need to build images, #Binderhub from #JupyterHub handles it in an elegant way in the helm chart using a daemonset and initializing a unique socket.

GitHub Enterprise認証をJupyterHubに導入する方法：初心者向けガイド
https://qiita.com/to-nagano/items/4e6f3add938414e76fa1?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Jupyter #JupyterLab #JupyterHub

ml-tooling/best-of-jupyter: A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools).

This curated list contains 300 awesome open-source projects with a total of 390K stars grouped into 13 categories. All projects are ranked by a project-quality score.

#JupyterNotebook #MachineLearning #DeepLearning #GitHub #JupyterKernel #JupyterLab #JupyterHub #JupyterLabExtension

https://github.com/ml-tooling/best-of-jupyter

Announcing the 2023 Jupyter Distinguished Contributor award recipients! #jupyter #projectjupyter #community #jupyterlab #jupyternotebook #jupyterhub https://blog.jupyter.org/announcing-the-2023-jupyter-distinguished-contributor-award-recipients-1b2cc4ba203f

The Jupyter Community Building working group (JCB) would like to share a report and community building recommendations from interviews with members of Project Jupyter subprojects. #jupyter #opensource #communitybuilding #jupyternotebook #jupyterlab #jupyterhub https://blog.jupyter.org/community-building-report-project-jupyter-5a0fd7c8b08d

My blog post on "Building a Data Science Platform with Kubernetes" got published in Towards Data Science, explaining how to setup JupyterHub, MLflow and SeldonCore in Kubernetes

https://medium.com/towards-data-science/building-a-data-science-tool-stack-with-kubernetes-00c74b491b9d

#TowardsDataScience #DataScience #Kubernetes #JupyterHub #SeldonCore #MLflow

Doing a bit of dog-fooding, and doing some dev in our IDE environments (#PyCharm, #VSCode) served up by @ProjectJupyter #JupyterHub on our k8s cluster (it uses projector proxy under the hood).

Other than the occasional jerkiness while scrolling and it fighting with browser over copy+paste, pretty close to running it on your local machine. Definitely something to be said for WUI-based IDEs.

Hi Samba folks! Using the most recent samba-ad-dc, can I authenticate clients using only LDAP clients?

In my case is a complex setup because I will serve data and services in a Windows environment and also want to authenticate the same users in a #JupyterHub server [which have LDAP auth].

#linux #samba #ldap

I self-hosted Jupyter Notebooks supporting Javascript, Python along with Datascience packages. I like it so far. I needed it for doing ad-hoc coding especially in Javascript.

• Dockerfile and instructions: https://gist.github.com/adeekshith/ef871e0cf23a7bab44088c114ddb50ae

#Jupyter #JupyterNotebooks #JupyterHub #JupyterJavascript #Node #node_js #NodeJS #Nodejs20 #Python #Python3 #Javascript #JavascriptNotebook #DataScience #DS #selfhost #SelfHosting #SelfHosted

AWS EC2(Linux)上に構築したJupyterHubで標準バージョン以外のPythonを実行できるようにしたい
https://dev.classmethod.jp/articles/jupyterhub_with_multi_python_version/

#dev_classmethod #Python #Amazon_EC2 #Amazon_Linux #jupyterhub

As a side note: We now switched from running most analyses on user PCs to a central #JupyterHub instance (with far more compute power). For us, the combination of a centralised Python environment with the proteomics-tailored #autoprot functions is the best compromise between ease of access for new users, documentation for future projects (in form of #JupyterNotebooks and versatility to adapt the analysis to each biological question.