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Well Python is right there in the title! ;)

It looks like more of an ebook and it seems to cover most of the essentials in your typical undergrad course + bootstrapping and intro to bayesian. From what I scanned it might be a little slow if you're just looking for a stats refresher -- depending on your level of experience I'd recommend the numpy and pandas docs as a "next step up" from the link (and maybe a bit more practical IMO).




Also relevant - Statistics for Engineers Tutorial at SRECon15 - https://github.com/HeinrichHartmann/StatisticsTutorial




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