Python Data

Overview

As the premier data analytics language, Python provides a number of useful utilities for dealing with data

Types

There are different types that are used to model and script data

• Basic Types, List and Dictionaries - the simplest set of core basic Python types. It is simple, powerful, and complies with programming conventions of other languages, such as Javascript
• Numpy Arrays and Matrices - a highly performant library for creating numeric vetors and matrices and doing calculations.
• Pandas - a library that extends the numpy library for indexable datasets. (series and dataframes)

Connecting to Data

• Data over HTTP
• File Data
• Database Data

Python Data Conventions

The Python language has a set of language features which makes it easy to abstract an analysis over a data set, regardless of where the data came from.

• Iterable Data
• Generators - or how to abstract over both big and small datasets

Utilities

• matplotlib