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Matplotlib is one of the most popular Python packages used for data visualization. It is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+.
Matplotlib was originally written by John D. Hunter.
Several toolkits are available which extend Matplotlib functionality. Some are separate downloads, others ship with the Matplotlib source code but have external dependencies:
natgridlibrary for gridding irregularly spaced data.
In this hands-on tutorial, we will show you how you can use various features of Matplotlib for Machine Learning, Deep Learning, or other purposes.
IMPORTANT: Please run the following command on a web console before starting off with the project, or if you are getting a 404: Not found error on the right side:
rsync -avz --ignore-existing /cxldata/cloudxlab_jupyter_notebooks/ /home/$USER/cloudxlab_jupyter_notebooks/
Let us begin!
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