Аннотация
There are plenty of substantive open source software projects out there for data scientists, so why choose Python? After all, there is R. R is a robust and well-supported language written initially by statistician for statisticians.
The view is not to promote one solution over the other. The goal is to illustrate how the addition of Python to a SAS user’s skill set can broaden ones range of capabilities. And besides, Bob Muenchen has already written R for SAS and SPSS Users.
Python has its heritage in scientific and technical computing domains and it has a compact syntax. The latter making for a relatively easy language to learn while the former means it scales to offer good performance with massive data volumes. This is one reason Google uses it so extensively and developed an outstanding tutorial for programmers. See Google's Python Class.
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