Drop in Unidata matplotlib workshop notebook (#37)

* Init matplotlib from python-training

* Remove extras and branding, refactor solutions

* Update TOC with new notebook

* Lint for pre-commit

* fig matplotlib to template

* fix link

* clean up links, clean section headings

* update markdown

* address comments

* address more comments

* fix spelling

* remove try to

* add in matplotlib colorbar documentation

Co-authored-by: Max Grover <mgroverwx@gmail.com>

Author: dcamron

_toc.yml

@@ -38,6 +38,8 @@
     - file: core/overview
     - file: core/numpy
     - file: core/matplotlib
+      sections:
+        - file: core/matplotlib/matplotlib
     - file: core/cartopy
       sections:
         - file: core/cartopy/01_Cartopy_Intro

core/matplotlib.md

@@ -5,3 +5,15 @@ This content is under construction!
 ```
 
 This section will contain tutorials on basic plotting with [matplotlib](https://matplotlib.org).
+
+From the [Matplotlib documentation](https://matplotlib.org) "Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python."
+
+Matplotlib is the go-to library for plotting within python, with numerous packages and libraries using matplotlib as a base to build off of. If you were to learn a single plotting tool to keep in your toolbox, this is the package.
+
+The key feature to matplotlib is its extensibility and the [extensive documentation](https://matplotlib.org/stable/contents.html) available to the community.
+
+Currently, we provide a basic introduction to matplotlib, but at a later date, we will add:
+
+- Legend and annotation customization
+- Customizing layouts
+- Interactive and 3D plotting