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Short Description
Jupyter Notebook with Spark.
Full Description

Jupyter Notebook



The Jupyter notebook is a web-based notebook environment for interactive
computing.

Jupyter notebook, the language-agnostic evolution of IPython notebook

Jupyter notebook is the language-agnostic HTML notebook application for
Project Jupyter. In 2015, Jupyter notebook was released as part of
The Big Split™ of the IPython codebase. IPython 3 was the last major monolithic
release containing both language-agnostic code, such as the IPython notebook,
and language specific code, such as the IPython kernel for Python. As
computing spans many languages, Project Jupyter will continue to develop the
language-agnostic Jupyter notebook in this repo and with the help of the
community develop language specific kernels which are found in their own
discrete repos.
[The Big Split™ announcement]
[Jupyter Ascending blog post]

Installation

You can find the installation documentation for the
Jupyter platform, on ReadTheDocs.
The documentation for advanced usage of Jupyter notebook can be found
here.

For a local installation, make sure you have
pip installed and run:

$ pip install notebook

Usage - Running Jupyter notebook

Running in a local installation

Launch with:

$ jupyter notebook

Running in a Docker container

If you are using Linux and have a
Docker daemon running,
e.g. reachable on localhost, start a container with:

$ docker run --rm -it -p 8888:8888 -v "$(pwd):/notebooks" jupyter/notebook

In your browser, open the URL http://localhost:8888/.
All notebooks from your session will be saved in the current directory.

On other platforms, such as Windows and OS X, that use
docker-machine with docker, a container can be started using
docker-machine. In the browser, open the URL http://ip:8888/ where ip is
the IP address returned from the command docker-machine ip <MACHINE>:

$ docker-machine ip <MACHINE>

For example,

$ docker-machine ip myjupytermachine
192.168.99.104

In browser, open http://192.168.99.104:8888.

NOTE: With the deprecated boot2docker, use the command boot2docker ip to
determine the URL.

Development Installation Quickstart

Detailed Developer Documentation
is available on ReadTheDocs.

  • Ensure that you have node/npm installed (e.g. brew install node on OS X)
  • Clone this repo and cd into it
  • pip install --pre -e .

NOTE: For Debian/Ubuntu systems, if you're installing the system node you
need to use the 'nodejs-legacy' package and not the 'node' package.

For more detailed development install instructions (e.g. recompiling javascript
and css, running tests), see the
Developer Documentation
on ReadTheDocs and the contributing guide.

Ubuntu Trusty

sudo apt-get install nodejs-legacy npm python-virtualenv python-dev
# ensure setuptools/pip are up-to-date
pip install --upgrade setuptools pip
git clone https://github.com/jupyter/notebook.git
cd notebook
pip install --pre -e .
jupyter notebook

FreeBSD

cd /usr/ports/www/npm
sudo make install    # (Be sure to select the "NODE" option)
cd /usr/ports/devel/py-pip
sudo make install
cd /usr/ports/devel/py-virtualenv
sudo make install
cd /usr/ports/shells/bash
sudo make install
mkdir -p ~/.virtualenvs
python2.7 -m virtualenv ~/.virtualenvs/notebook
bash
source ~/.virtualenvs/notebook/bin/activate
pip install --upgrade setuptools pip pycurl
git clone https://github.com/jupyter/notebook.git
cd notebook
pip install -r requirements.txt -e .
jupyter notebook

Resources

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