- numpy - provides multi dimentional arrays
- pandas - data analasys lib that provides a data frame (2 dimential data structure)
//commands to write inside jupyter notebook
import pandas
dataframe = panda.read_csv('data.csv')
dataframe //will output sample of the data, few first and last rows as a table.
dataframe.shape //will output number of columns and rows in the dataframe like "(100, 5)"
dataframe.describe() //will output table with data about each numeric data column
dataframe.values //will output sample of data in array format `array([[1, 'Wii Sports', 'Wii', ..., 3.77, 8.46, 82.74],....`
- matPlotLib - multi dimentional library for creating graphs
- Scikit-Learn - provides coomon algorithms (decision tres/ neural networks..)
- Quandl