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Can people comment as to the quality of this article? Would it be a good place for a refresher on statistics? Are there any other such projects that people can
by graffitici 11y ago
Can people comment as to the quality of this article? Would it be a good place for a refresher on statistics? Are there any other such projects that people can recommend?
I like the way it has a strong Python focus.
- maxpupmax 11y agoWell 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).
- fluential 11y agoAlso relevant - Statistics for Engineers Tutorial at SRECon15 - https://github.com/HeinrichHartmann/StatisticsTutorial https://github.com/HeinrichHartmann/StatisticsTutorial
- grayclhn 11y agoI wouldn't use it as a stats book. The coverage is very spotty and seems a bit old fashioned. Lots of different test statistics, not too much intuition from what I could see, and too little coverage of most things to be useful (ie the bootstrap gets a few paragraphs, Bayesian stats gets just a little more, etc). I don't know of good stats books focusing on Python, but I'm sure there are plenty. "An Introduction to Statistical Learning" is free online [1] but it emphasizes R and has very little overlap, so I don't know if it addresses your needs, but it's very good. 1: http://www-bcf.usc.edu/~gareth/ISL/ http://www-bcf.usc.edu/~gareth/ISL/