PyData SF 2016
Krishna Sankar | Pandas, Data Wrangling & Data Science
Let us explore Pandas from a Data Science perspective, mainly data exploration & feature extraction. In the process we will also ponder Data Science pragmas. We start with Pandas fundamentals and then move on to analyzing datasets. If you want to follow along, have a working iPython, download the notebooks at [ Ссылка ] and the data. Run PreFlightCheck.ipynb.
Data Wrangling & Data Science Pipeline
Pandas – APIs & Namespaces
Pandas – Basic Maneuvers
Hands-on : Titanic Dataset
Pandas – Data Wrangling – Transformations, Aggregations & Join
Hands-on : NW Dataset, State Of The Union Speeches & Debates, Recsys-2015 Data
Q & A 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
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