As a result of this easy familiarity, Python allows the company to move code from development to production more quickly, since the same code created as a prototype can easily be moved into production. At the talk, Himrod will provide an example of how one analyst, who had only a minor in computer science, was able to develop an algorithm that was later deployed at full scale.

Created in the late 1980s, is a highly flexible and dynamic language that has found a large audience among system administrators and developers who need a language to quickly assemble programs. The PyData conference, however, will focus on using Python for more specialized analysis tasks, with different talks on using Python and related libraries to process data streams, to visualize datasets, and to carry out scientific calculations.

The IDG News Service