Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

July 27, 2012

Anaconda: Scalable Python Computing

Filed under: Anaconda,Data Analysis,Machine Learning,Python,Statistics — Patrick Durusau @ 10:19 am

Anaconda: Scalable Python Computing

Easy, Scalable Distributed Data Analysis

Anaconda is a distribution that combines the most popular Python packages for data analysis, statistics, and machine learning. It has several tools for a variety of types of cluster computations, including MapReduce batch jobs, interactive parallelism, and MPI.

All of the packages in Anaconda are built, tested, and supported by Continuum. Having a unified runtime for distributed data analysis makes it easier for the broader community to share code, examples, and best practices — without getting tangled in a mess of versions and dependencies.

Good way to avoid dependency issues!

On scaling, I am reminded of a developer who designed a Python application to require upgrading for “heavy” use. Much to their disappointment, Python scaled under “heavy” use with no need for an upgrade. 😉

I saw this in Christophe Lalanne’s Bag of Tweets for July 2012.

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