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Review: Agile Data Science (O’Reilly Media)

You could say I'm a sucker for bashing, but hell no, was I just curious.

Agile is something of an overused buzzword now and it seems to be the case now. Agile here equals with just installing a dozen frameworks after each other and skim another programming or markup language in a row spiced with some algos and stats. You gonna be exposed to SQL, NoSQL, Python, Avro, Pig, Flask, Bootstrap, Jinja, D3.js, nvd3.js, MongoDB, ElasticSearch, GitHub, dotCloud, S3, Elastic Mapreduce, Google Analytics, Mortar Data, ElasticSearch, Wonderdog, TF-IDF and Naive Bayes, all in 178 pages.

Thinking positively this is the quickest possible intro for a workflow with all typical phases, although weapons of choice seem arbitrary, never a why, never a pro or a con nor any alternatives. If you're lazy to understand the landscape and want a pre-cooked menu that you can cook, but can't change the recipes, go for it.

Check for yourself at O'Reilly.

Score: 2 of 5.

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