Different types of Libraries

I will be going over the different types of libraries that are necessary when doing data analytics

Numpy

Numpy is python library used for working with arrays. Arrays are frequently used in data science because they can store data. In fact, numpy arrays store 1 continuous place memory unlike lists, so processes access and manipulate data very efficiently

pandas

pandas is one of the popular Python data analysis toolkits. It parses multiple file formats and convert entire data tables into numpy matrix array

Matplotlib

A comprehensive library for creating static, animated, and interactive visualization in Python