Jupyter Notebooks

I have found Jupyter Notebooks to be a great tool for both documentation and learning to work with new libraries and tools. Below are a few of my notebooks that include code for plotly, pandas and scikit. Because these are largely visual in nature, I have included links the rendered version of the notebooks using Jupyter nbviewer.

net_charts

This notebook briefly covers creating some simple stylized charts using pandas and plotly. This was an exercise in working with these two libraries and exploring a few methods for displaying tightly clustered data from a network layer.

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net_graph

Once I had a better grasp on these two libraries, I attempted to create a graphical representation of each network layer using a plotly graph plot. This notebook is a guided walk through the process of creating and animating this plot.

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scikit_pipelines

The scikit_pipelines notebook covers the basics of sklearn pipelines using the entry-level Kaggle house data set for illustrative purposes.

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