Helm Chart & Documentation for deploying JupyterHub on Kubernetes
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Updated
Jun 12, 2024 - Python
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Platform for materials scientists to contribute and disseminate their materials data through Materials Project
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
A generative AI extension for JupyterLab
Official main repository for LFortran
Launch and view Tensorboards in VS Code —
AI-Powered Jupyter Notebook built using React
OAuth + JupyterHub Authenticator = OAuthenticator
A papermill implementation to run notebooks inside dataproc serverless
Multiplatform plotting library based on the Grammar of Graphics
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
Docker container for .NET interactive
This repo contains open-source tools and tutorials developed by scientists and engineers funded by the NASA TROPESS project.
CoCalc: Collaborative Calculation in the Cloud
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 5 days ago