Last night Peter Wang of Continuum Analytics spoke about the history of Python packaging, showed off Bokeh, and gave previews of what's new on the horizon from Continuum Analytics. I'm very glad I started playing in the jupyter (formerly iPython which is yet to morph into something new) notebook last week using pandas, numpy, and matplotlib.
The Anaconda documentation is very good and even gives the command to download R packages. The structure of the distribution and the IDE make me wish all programming languages were structured this way.
If you're looking for data with which to play, here's a partial list.
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American Community Survey (ACS)
https://www.census.gov/programs-surveys/acs
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Centers for Disease Control and Prevention Datasets
https://data.cdc.gov/browse?limitTo=datasets&sortBy=last_modified&utf8=%E2%9C%93
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Data.gov Datasets
http://catalog.data.gov/dataset
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World Bank Data
http://data.worldbank.org
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Open Baltimore
https://data.baltimorecity.gov
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New York City Open Data
https://nycopendata.socrata.com
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City of Chicago Data Portal
https://data.cityofchicago.org
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data.seattle.gov
https://data.seattle.gov