Skip to content

Notebooks introducing scientific computing with Python & Jupyter

Notifications You must be signed in to change notification settings

Jupyter-Kale/Jupyter-and-its-moons

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

50 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Jupyter And It's Moons - An Introduction to Jupyter and its Ecosystem

Presented by: Shreyas Cholia, Matt Henderson, Oliver Evans

Gateways 2017, Ann Arbor MI

Installation

We will use the anaconda stack to simplify the installation process. You will need to download Anaconda (Python 3) https://www.anaconda.com/download/ to get started.

Install instructions for your platform can be found here: https://docs.anaconda.com/anaconda/install/

Windows users should install anaconda using the default options in the installer.

Optionally you can also do this tutorial via docker. If you go this route, we'll assume you already have [[Docker][https://www.docker.com/get-docker]] installed and are familiar with basic Docker concepts since this is not meant to be a Docker tutorial.

Running (Linux/OS X)

Anaconda:

source /path/to/anaconda3/bin/activate
git clone https://github.com/Jupyter-Kale/Jupyter-and-its-moons.git

cd Jupyter-and-its-moons
jupyter notebook

Docker:

git clone https://github.com/Jupyter-Kale/Jupyter-and-its-moons.git

cd Jupyter-and-its-moons

docker run -p 127.0.0.1:8000:8000 -p 127.0.0.1:8888:8888 -v`pwd`:/opt/Jupyter-and-its-moons -i -t continuumio/anaconda3 jupyter notebook --notebook-dir=/opt/Jupyter-and-its-moons --ip='*' --allow-root

This should start jupyter and you will see something that looks like this:

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=c23aafa8269872fb603b5ea6c62363f315139133850678e3

Go to the above URL

Welcome to Jupyter!

Widgets

For the Widgets section you'll need to install the following

conda install -c conda-forge bqplot ipyvolume ipyleaflet

Running (Windows)

Download git for windows: https://git-scm.com/download/win

Run the installer that was downloaded: Git-2.14.2.3-64-bit.exe

On the last screen, select "Launch Git Bash", then click "Finish".

Inside the terminal:

git clone https://github.com/Jupyter-Kale/Jupyter-and-its-moons.git

Launch Jupyter Notebook from your start menu or apps. This will open the interface in your default browser in your user home. You can navigate to where you checked out the "Jupyter-and-its-moons" repository above and follow along.

About

Notebooks introducing scientific computing with Python & Jupyter

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published