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Your book organization, and resiliency of R

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Hi Brett,
I am coming from years of C++, Java, Python, and now 2 years in Golang programming, and I have a moderate statistics background. Please tell me how your book is organized for a newbie R programmer, but an otherwise experienced programmer (I tend to dislike a book with too much verbosity around the basic programming constructs). Also I hear that language R is slower than Python, and Python is waayyy slower than everything under the sky. In that case, how resilient is this language going to be in case we have enough ML libraries created for Julia, or Golang (which is Google's rich child), or someday for Java?
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R is not slower than python. Python is faster. R has many packages statistical compared to python. But python also has most packages. Learning curve is smooth in python. R results integrating into web is difficult.
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