[Numerical Modeling 6] Essential Matplotlib, data plotting library for Python

Published: 21 September 2021
on channel: TuxRiders

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How can you present the results of a scientific computation without graphics and standard plots? It is very difficult to imagine such a situation. Moreover, plotting can be a great debugging or monitoring tool. There is a powerful library (package) for this purpose in the Python world: Matplotlib. If you want to do scientific computing in Python, this is one of the most essential things to grasp. So, let’s take a look at it.

Educational Materials:
In order to follow the videos, you need the educational materials, which are provided as a set of Jupyter Notebooks. You can find the materials at http://tuxriders.com/videos/numerical... and https://github.com/TuxRiders/numerica...

Topics covered:
🎯 Introducing Matplotlib features
🎯 Creating simple X-Y plots
🎯 Compound plots and sub-figures
🎯 Modifying plots properties for different look and feel
🎯 Saving figures and defining the resolution
🎯 Various plot styles
🎯 3D plotting and contour plots for 3D data

Lecturer: Mojtaba Barzegari https://mbarzegary.github.io/

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