Making basic, good-looking plots in Python is tough. Matplotlib gives you great control, but at the expense of being very detailed. The rise of pandas has made Python the go-to language for data wrangling and munging but many people are still reluctant to leave R because of its outstanding data viz packages.
ggplot is a port of the popular R package ggplot2 into Python. It provides a high level grammar that allow users to quickly and easily make good looking plots. An example may be found here:
Greg will show you how to use ggplot to analyze data from the MLB's open data source, pitchf/x. He will take you through the basics of ggplot and show how easy it is to create histograms, plot smoothed curves, customize colors & shapes.
About the speaker:
Greg is a co-founder of Yhat, a platform for efficiently running predictive models in production software. He is a former Product Manager at On Deck Capital, where he built systems for analyzing and making loans to small businesses in real-time. He primarily works with Python and R and has written open source packages for both languages. Greg is a graduate of the University of Virginia.
6:00 - 6:30 Pizza and Beer
6:30 - 7:30 Talk
7:30 - 8:30 Beer and Networking
Pizza and Beer will be provided by DataRobot.