Stephen Simmons | Pandas from the Inside
Автор: PyData
Загружено: 2016-10-24
Просмотров: 20388
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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!
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