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Matplotlib Introduction

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Data Visualization with Matplotlib

Welcome to this tutorial, here we are going to get familiar with python's most well-known module for graphing.
We'll look at how to use Matplotlib to make visually attractive graphs and charts that present data in interesting and educational ways.
By the end of this section, you'll know how to create and personalize line graphs, bar charts, pie charts, and histograms

About Matplotlib

Matplotlib is a python library that is used as a visualization advantage.
It was created by John D. Hunter.
It is open source and is mostly written in python. However, a few parts of it were written in C, Obj-C, and Javascript.

Installation of Matplotlib

The installation is very easy when you have python and pip already installed on your system using this command:
```
C:\Users\Your Name>pip install matplotlib
```
You can also use Anaconda, Spyder which already comes with Matplotlib.

Importing of Matplotlib

After installation, it's time to import the Matplotlib library in your python code have some visualization and get some insights.
Use the import keyword for this:
```
import matplotlib
```
You can also check the version of matplotlib using __version__ attribute:
```
import matplotlib

print(matplotlib.__version__)
```

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