Data Analysis with Python

We'll be joining the Charleston Data Analysis meetup group to talk about some of the analytical tools in the Python world, which are awesome!

This is mostly a tutorial session where people are welcome to follow along on their laptops, though we'll also touch on some more advanced stuff like machine learning libraries for language processing.

A rough overview of the agenda looks like this:

• Numpy (Chris Mullins) - An introduction to the vector operation and linear algebra library underlying nearly all of the analytical work conducted within the Python Ecosystem

• Pandas (Eric Czech) - Intro to the workhorse library for manipulating data in Python

• Scikit-learn (Denise Gosnell) - Unsupervised learning for latent attributes (e.g. topics/concepts) within text documents

For those that would like to follow along, please install Jupyter Notebook (Installation Instructions (http://jupyter.readthedocs.io/en/latest/install.html)) on your machine. That document recommends installing the "Anaconda" python distribution first, and it's a great recommendation. Doing that first will likely save you a lot of time and trouble.