This document summarizes a presentation given at PyCon JP 2016 about analyzing baseball data with Python. The presentation introduced the speaker, Shinichi Nakagawa, and discussed using the MLBAM dataset and Python libraries like pandas and matplotlib to analyze pitching data. Specific examples analyzed the pitching of Yu Darvish before and after Tommy John surgery, compared Ichiro Suzuki and Joey Votto's batting, and looked at pitch location data to study the strike zone. The presentation emphasized the usefulness of Python for accessing and analyzing sports data.