post: data analysis in python with numpy, scipy, and pandas about blog HOT 4 OPEN

http://pandas.pydata.org/pandas-docs/stable/comparison_with_sql.html

https://www.youtube.com/watch?v=aKs1Vgtb1do

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sqlalchemy fits in here for ETL interval jobs taking data from various source database backends and pushing into a dedicated data warehouse

http://www.sqlalchemy.org/library.html#tutorials

https://speakerdeck.com/zzzeek/introduction-to-sqlalchemy-pycon-2013

http://www.sqlalchemy.org/library.html#recipes

http://docs.sqlalchemy.org/en/rel_0_9/orm/query.html

python jobs via Celery tasks:
http://www.slideshare.net/mindsocket/2013-data-flows?qid=2cc2d50d-77a1-43e9-87d0-25c5341aad71&v=default&b=&from_search=1

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data visualization libraries:
http://d3js.org/

https://github.com/shutterstock/rickshaw

5 best libraries for data visualization: http://www.fastcolabs.com/3029760/the-five-best-libraries-for-building-data-vizualizations

courses on data visualization:
http://guides.library.duke.edu/datavis/

http://ocw.mit.edu/resources/res-6-009-how-to-process-analyze-and-visualize-data-january-iap-2012/lectures-and-labs/

http://ocw.mit.edu/resources/res-9-0002-statistics-and-visualization-for-data-analysis-and-inference-january-iap-2009/index.htm

http://www.cs171.org/2015/resources/

interview with the founder of data visualization: http://pd.npr.org/anon.npr-mp3/npr/totn/2013/01/20130118_totn_05.mp3

Books to read:
http://www.thefunctionalart.com/

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http://www.amazon.com/Handbook-Statistical-Analysis-Mining-Applications-ebook/dp/B002ZJSVPA/ref=tmm_kin_title_0?_encoding=UTF8&colid=3QWHZRCI1HMOH&sr=&qid=&coliid=IVZE483KUCJKO

This looks like one of the better texts on data analysis techniques I've found so far.
[ ] see how far I can read through this over christmas!

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