Open Thoughts on Analytics
OCT 25, 2012 11:22am ET

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U.S. Baby Names: an Analytic Approach

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I quite enjoyed the recent O’Reilly Webcast “Python for Data Analysis” by Wes McKinney. Besides learning about the useful Python shell, IPython, I was introduced to the powerful package pandas, which sits on top of NumPy and matplotlib, adding a wealth of easily-accessible “munging” and data analysis capabilities for Python programmers. McKinney was an excellent presenter, and I can’t wait to get his book this week at Strata + Hadoop World Conference in New York City.

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Comments (1)
Steve, good article. One other open source technology to look at is HPCC Systems from LexisNexis, a data-intensive supercomputing platform for processing and solving big data analytical problems. Their open source Machine Learning Library and Matrix processing algorithms assist data scientists and developers with business intelligence and predictive analytics. Its integration with Hadoop, R and Pentaho extends further capabilities providing a complete solution for data ingestion, processing and delivery. In fact, executing HPCC Systems commands within R helps ease the burden of memory limitations with just R alone. More at http://hpccsystems.com
Posted by HAANA M | Thursday, November 01 2012 at 9:45AM ET
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