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Predicting the TripleJ Hottest 100 With Python

Project: Predicting the Hottest 100 With Python

For several years now, I've used Python to help me attempt to predict the results of TripleJ's Hottest 100.

LEARN! how to write scripts that use more than CPU0 on your fancy multi-core laptop!

SEE! the alarming amount of information you can get through social network APIs.

MARVEL! at the myriad ways Optical Character Recognition will mangle your text!

Justin Warren

Justin is an analyst and a consultant, specialising in enterprise technology, particularly infrastructure, open source software, and information security. He has been coding in Python since the early 2000s, and is the author of the libsnmp, ModiPy, and NetAppZAPI libraries.

Justin moonlights as a journalist, and is a regular contributor to iTNews.com.au, CRN.com.au, and Forbes.com.

Justin runs consulting company PivotNine, based in Melbourne/Australia. He holds an MBA from Melbourne Business School but coded his way out of getting the lobotomy.

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