Para más información visitar las siguientes URLs:

1. Parte I: Introducción a Pandas. (http://jarroba.com/pandas-python-ejemplos-parte-i-introduccion/)
2. Parte II: DataFrame: Lectura y Escritura, Mergeo de DataFrame's y GroupBy. (http://jarroba.com/pandas-python-ejemplos-parte-ii-io-merge-groupby/)
3. Parte III: Operaciones de "Pivot_table" con DataFrame's.(http://jarroba.com/pandas-python-ejemplos-parte-iii-pivot_table/)

In this project is going to make an example with pandas' library in Python.

Will see the differences between Series and DataFrame:

• Series: Is a unidimensional array with indexation. Similar to dictionary.
• DataFrame: Data structure similar to excel or SQL table.

For this example i used the "MovieLens" data set that contains information of users, films and ratings. We'll see how transform the Movielens data set to a DataFrame, and work with this structure similarly to work as a database.

Is necessary to install next libraries (with pip):

$ pip install pandas
$ pip install numpy