https://github.com/mungell/datascienceworkbench

Jupyter on Ubuntu
https://github.com/mungell/datascienceworkbench

ansible jupyter machine-learning vagrant virtual-machine

Last synced: about 1 month ago
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Jupyter on Ubuntu

• Host: GitHub
• URL: https://github.com/mungell/datascienceworkbench
• Owner: MunGell
• Created: 2016-07-06T16:34:53.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-08-01T10:53:17.000Z (over 8 years ago)
• Last Synced: 2024-05-02T01:08:56.969Z (8 months ago)
• Topics: ansible, jupyter, machine-learning, vagrant, virtual-machine
• Language: Shell
• Size: 11.7 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Science Workbench

This repository contains a simple Vagrant box based on Ubuntu 14.04.4 LTS.

It's Ansible provision playbook installs Jupyter, Python 3 kernel and all basic scientific libraries.

## Getting Started

0. Make sure following software is installed on your host machine: [VirtualBox](https://www.virtualbox.org), [Vagrant](http://vagrantup.com), [Ansible](https://www.ansible.com/).

1. Clone/Download the repository

2. Rename file `settings.yml.example` to `settings.yml`

3. Edit any settings that you wish in `settings.yml`

4. Boot up the machine with `vagrant up`

5. Access your notebook using [http://localhost:8888](http://localhost:8888) or hostname:port of your choice

## Jupyter

Latest Jupyter (IPython) is installed through `pip` using Python 3.

## Python kernel

Uses Python 3.

Following `pip` packages are installed:

  - numpy

  - scipy

  - pandas

  - matplotlib

  - scikit-learn

  - networkx

## R kernel

Uses RStudio version of R, which is 3.3 at the moment.