Data science in the cloud
Investment analysis with IPython and pandas
From the developerWorks archives
Date archived: November 29, 2016 | First published: February 21, 2013
Data Science is a growing specialization that can touch on many of the following topics: Cloud computing, big data, math, business theory, and computer science theory. A scripting language like Python is often a great choice for the typical cycle of prototyping to make sure the math of the problem works, then "productizing" the result to a distributed farm of cloud servers. This article presents some hands-on examples of investment analysis and statistical analysis using IPython and pandas.
This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some steps and illustrations may have changed.