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.