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.
Clipping is a handy way to collect important slides you want to go back to later.