Visualization and Analytics in Python Tutorial

Peter Wang (Continuum Analytics)
Travis Oliphant (Continuum Analytics)
Joseph Cottam (Indiana University)

This tutorial introduced Python tools for data analysis and visualization. The tools covered included NumPy, Numba, Blaze, Pandas, Bokeh and Matplotlib. These tools cover the whole data analysis pipeline, with data ingestion (Blaze, NumPy), manipulation (Numba, NumPy, Pandas), visualization (Bokeh and Matplotlib) and publish to a web-service (Bokeh). A brief introduction to the Python language itself was also included (though some python experience is strongly suggested). By the end of this workshop, the participants were able to load a large dataset, do basic analysis and construct web-enabled interactive visualizations.

Original article located here.

Monday, October 28, 2013
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