Stephen Simmons | Pandas from the Inside

PyData DC 2016 Pandas is great for data analysis in Python: intuitive DataFrames from R; fast numpy arrays under the hood; groupby like in SQL. But this familiarity is deceptive: pandas users often get stuck on things they feel should be simple. This talk look inside pandas to see how DataFrames actually work when building, indexing and grouping tables. You will learn how to write fast, efficient pandas code. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps