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https://github.com/ipython-books/cookbook-data

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README

          

IPython Cookbook: example data
==============================

This repository contains the example data of the [IPython Cookbook](http://ipython-books.github.io), the definitive guide to **high-performance scientific computing** and **data science** in Python. [The main repository is here](https://github.com/ipython-books/cookbook-code).

## Datasets

* [Africa](https://github.com/ipython-books/cookbook-data/blob/master/africa.zip?raw=true)
* [Babies](https://github.com/ipython-books/cookbook-data/blob/master/babies.zip?raw=true)
* [Beach](https://github.com/ipython-books/cookbook-data/blob/master/beach.zip?raw=true)
* [Bikes](https://github.com/ipython-books/cookbook-data/blob/master/bikes.csv?raw=true)
* [Child](https://github.com/ipython-books/cookbook-data/blob/master/child.zip?raw=true)
* [Debian](https://github.com/ipython-books/cookbook-data/blob/master/debian.zip?raw=true)
* [Family](https://github.com/ipython-books/cookbook-data/blob/master/family.zip?raw=true)
* [NASDAQ](https://github.com/ipython-books/cookbook-data/blob/master/nasdaq.zip?raw=true)
* [Notebook](https://github.com/ipython-books/cookbook-data/blob/master/notebook.zip?raw=true)
* [Piano](https://github.com/ipython-books/cookbook-data/blob/master/piano.zip?raw=true)
* [Portrait](https://github.com/ipython-books/cookbook-data/blob/master/portrait.zip?raw=true)
* [RATP](https://github.com/ipython-books/cookbook-data/blob/master/ratp.zip?raw=true)
* [Road](https://github.com/ipython-books/cookbook-data/blob/master/road.zip?raw=true)
* [Storms](https://github.com/ipython-books/cookbook-data/blob/master/storms.zip?raw=true)
* [Tennis](https://github.com/ipython-books/cookbook-data/blob/master/tennis.zip?raw=true)
* [Titanic](https://github.com/ipython-books/cookbook-data/blob/master/titanic.zip?raw=true)
* [Troll](https://github.com/ipython-books/cookbook-data/blob/master/troll.zip?raw=true)
* [Weather](https://github.com/ipython-books/cookbook-data/blob/master/weather.zip?raw=true)

## Installation instructions

When you need to use a dataset for a recipe in the cookbook:

1. Download the indicated dataset by clicking on the link above.
2. Extract the downloaded `.zip` file in your current directory (the directory that contains your IPython notebook). Now there should be a new `data/` subfolder containing the dataset for the recipe.
3. Execute the notebook as indicated in the recipe.

*Note*: Dataset *Bikes* need not be downloaded as Recipe 1.2 fetches data directly from the Internet (see [Issue #2](https://github.com/ipython-books/cookbook-data/issues/2)).