3. Introduction to Matplotlib | Data Visualization with Python | Tech2Teach

Published: 21 January 2021
on channel: Tech2Teach

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In this video, we will start learning about Matplotlib. This video will focus
on the history of Matplotlib and its architecture. Matplotlib is one of the
most widely used, if not the most popular data visualization library in Python. It
was created by John Hunter, who was a neurobiologist and was part of a
research team that was working on analyzing Electrocorticography
signals, ECoG for short. The team was using a proprietary software for the
analysis. However they had only one license and were taking turns in using
it. So in order to overcome this limitation, John set out to replace the
proprietary software with a MATLAB based version that could be utilized by him
and his teammates, and that could be extended by multiple investigators. As a
result, Matplotlib was originally developed as an ECoG visualization tool,
and just like MATLAB, Matplotlib was equipped with a scripting interface for
quick and easy generation of graphics, represented by pyplot. We will learn
more about this in a moment. Now Matplotlib's architecture is composed of
three main layers: the back-end layer, the artist layer where much of the heavy
lifting happens and is usually the appropriate programming paradigm when
writing a web application server, or a UI application, or perhaps a script to be shared with other developers, and the scripting layer, which is the appropriate

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