PYTHON LIBRARY DESCRIPTION

Table of Contents:

1. Introduction
2. Matplotlib
3. Numpy
4. Scipy
5. Scikit-Learn
6. Tensorflow

A Brief introduction to python and its libraries

                Python is programming language that can be used on the server to create web applications. It is an open source tool and simple to learn. It has the best packages that supports the Artificial intelligence.It consists of many libraries supporting scientific computations and algorithms related to Machine Learning and Data Science.

Important Libraries in Python:

Matplotlib 

                It is used in plotting libraries.

Numpy      

                It is a library that supports multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Scipy          

                It is a library that supports Scientific computations.

Scikit-Learn

                It is library that consists of general algorithms used in Machine Learning and Data Science

Tensorflow 

                 It is toolkit built at Google.It is extensively used in Deep Learning. Even though it is not built particularly for python, it has brilliant python support and also consists of a layer of python code that we can easily use.