May 19, 2016

May 20, 2016

May 23, 2016 to May 26, 2016

This workshop will cover how to extract data from the web using Python. We'll be covering both APIs and webscraping.

Topics Covered

April 6, 2016

The focus of this workshop is machine learning using the H2O R and Python packages.

March 28, 2016

This workshop will cover how to determine the geographic coordinates for address data. This is useful for creating maps, linking to other geospatial data, or finding distances between points.

April 22, 2016

This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.

April 5, 2016

This workshop addresses clustering and topic modeling in Python, primarily through the use of scikit-learn and gensim.

April 20, 2016

We'll learn about spatial data projection, cartography, and basic spatial analysis in Python.

April 13, 2016

We'll learn how to create animated 3-d data visualizations in Python. This sort of visualization method is useful to demonstrate different perspectives of a three dimensional data set.

April 1, 2016

This four part, interactive workshop series is your complete introduction to the capabilities of the Python language.