JupyterHub
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1.0.0
1.0.0
  • Introduction
  • Determine Your Workflow
  • About Jupyter Notebooks
  • About JupyterHub
  • Computing Policies
  • ❓Help and Support
    • Getting Support
    • FAQ
    • Known Issues/Bugs
    • Instructor's Checklist
    • Additional Resources
  • Getting Started
    • Sign In
    • Import Notebooks
    • Launch a Notebook
    • Launch a Terminal Session
  • Using Your Hub
    • Interface Overview
    • Creating a New Blank Notebook
    • Managing Active Notebooks
    • Shutting Down Server
  • Content Sync via Link
    • Link generation
  • CONTENT SYNC VIA GIT
    • Git Overview
    • Create GitHub Account
    • Set Up Git in JupyterHub
    • Downloading Content
    • Saving and Uploading Content
    • GIT Cheatsheet
  • Github Classroom (Student Guide)
    • Getting Started
    • Getting and Uploading Assignments
  • GitHub Classroom (Instructor Guide)
    • Overview
    • Getting Started
    • Distributing Homework
    • Distributing Lectures
    • Learning Management Systems
  • ADVANCED TOPICS
    • Package Installation
    • Accessing Classic Notebook
    • Slideshow Plugin
    • VSCode
    • SQLite
    • RStudio and Shiny
    • Dash
  • Reproducibility
    • Replicating the Environment
    • Using Docker
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  • How To Use This Guide
  • What Do You Get?
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Introduction

NextDetermine Your Workflow

Last updated 7 months ago

Welcome to the Brown University JupyterHub Documentation & Quickstart Guide. The Brown JupyterHub is designed to provide an environment to run Jupyter Notebooks for Python, Julia, R, and other languages without the need to install any software or packages. JupyterHub is interacted with completely through a web browser. This service is a collaboration supported by various teams in CIS.

If you are an instructor looking to request a JupyterHub for your course or workshop, please visit this .

How To Use This Guide

This document is designed to help instructors and students use their JupyterHub. This guide also provides extensive documentation on different used to distribute materials to the hub. Depending on a specific workflow, there are different sections of this documentation that are more relevant to you. To help you identified those sections, we make use of the following labels depending on your role and workflow

  1. Use labels as a guide to revelant sections ① Basic usage guide ② Advanced usage guide Ⓣ Teacher guide - Ⓢ Student guide

What Do You Get?

On the Brown JupyterHub, each user is provided their own persistent working directory and compute resource allocation unique from each other user. This means the environment you are provided is only accessible by yourself and CIS support staff.

Once connected to your server, you are provided an isolated workspace where you can write and run code. There are no time limit restrictions or specified lockout times, so please feel free to use your personal JupyterHub notebook server anytime you want and adhere to

link
workflows
Determine your workflow
CCV's Computing Policies