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pandas_tutorial_from_pycon2012_by_wes_mckinney's Introduction

These notebooks are built from Wes McKinney's 2012 PyCon "Data analysis in Python with pandas presentation"

The video is very informative. These allow a quick scan of what was covered. If you choose to watch the video, things are slow going until about 28:16.

Some of the Ipython/Jupyter is a litle dated. Some added fucntionality has been added to pandas since this talk but very little from the talk is not relevent still today. There are a few commands that have changed but it will warn of depracation and suggest the new command or format.

The data files used are:

  • baby-names2.csv: name proportions in teh US from 1880-2008

  • births.csv: number of births in the US for teh same year range

  • stock.csv: stocks for AA,AAPL,GE,IBM,JNJ,MSFT,PEP,SPX,XOM for 2007-10-29 to 2011-10-14

  • P00000001-ALL.txt: 2012 election contributions

The suggested flow derived from the presentation is pandas data structures > stocks > baby names > election data.

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