https://github.com/krisnova/easy-twitter-data-science

A quick and easy jump start into data science on Twitter data. This repository is catered to users who are less technical.
https://github.com/krisnova/easy-twitter-data-science

Last synced: about 1 year ago
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A quick and easy jump start into data science on Twitter data. This repository is catered to users who are less technical.

• Host: GitHub
• URL: https://github.com/krisnova/easy-twitter-data-science
• Owner: krisnova
• Created: 2016-09-12T04:14:02.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2016-10-12T01:57:50.000Z (over 9 years ago)
• Last Synced: 2025-03-26T08:16:41.618Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 127 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# easy-twitter-data-science

The simplest way of getting a hello world example running with the following stack

- [Twitter](https://dev.twitter.com/overview/documentation)

- [Jupyter Notebook](http://jupyter.org/) (Python)

# Installation

First [Download](https://github.com/kris-nova/easy-twitter-data-science/archive/master.zip) the zip file.

Double click **Setup** to install the package

Double click **Run** to run the package.

You can now begin playing with twitter data.

# Run the notebook

    make launch

# Beginners Guide (Command Line)

Open a terminal

    cmd+space "terminal"

Navigate to the directory you want to install this in

    cd ~/Workspace

Clone the repository

    git clone https://github.com/kris-nova/easy-twitter-data-science.git

Explore the new repository

    cd easy-twitter-data-science

    make install-osx

    make launch