Thanks for Avi. and all other people's helps. I am using Numpy primarily for machine learning, for example, Keras tasks can use Numpy heavily.
Now I got a task to analyze the BIO data, for which the Prof tell me R is better. So I am looking into R. and I was just serious if Numpy can handle the BIO data well? Regards Cathy October 29, 2021 3:32 AM, "Avi Gross via R-help" <r-help@r-project.org> wrote: > I am not sure your overall question fits into this forum but a brief > internet search can find plenty of info. > > But in brief, R is a language in which much of what numpy does was built in > from the start and many things are vectorized. Much of what the python > pandas language does is also part of native R. There are additional packages > (python called them modules) freely available that greatly extend those > capabilities and I doubt there is very much you can do in numpy that cannot > also often easily be done in R. > > Realistically, there are several reasons the numpy module is so commonly > used in python. They left something like vectors out of the language. Yes, > they have dictionaries and lists and sets and all kinds of objects. So numpy > was made mostly in C to provide numeric processing of things that are more > like vectors efficiently. In R, everything is a vector as in a simple > variable is just a vector of length one! > > I program in both and in other languages as many do. Reasons to choose one > or another vary. Python can do many things easily and with complexity and is > a rather full-blown and complex language with real object-oriented > capabilities and also functional programming. It is interpreted but also has > a way to save partially compiled code. R is pretty much all interpreted > albeit many things are written I C or C++ pr other compiled languages and > stuffed into libraries. > > One main reason to choose is programming style but there are TONS of > differences that can bite you such as R sometimes deferring evaluation of > code which can be an advantage or the opposite. But a huge reason I think > that people choose one or the other is the availability of packages that do > much of what they want. Some, for example, love a set of packages they call > the tidyverse and do much of their work largely within it rather than base > R. Many love the graphics package called ggplot. > > But over time, I see more and more functionality available within the Python > community that rivals or perhaps exceeds such as the machine learning tools. > > I have an interesting solution I sometimes use as you can run programs in R > using a package that allows the same data to be accessed back and forth > between an attached R interpreter and a Python interpreter. So if you want > to use python features like dictionaries and list comprehensions to massage > the data then have R do additional things and perhaps make graphs, you can > get some of both worlds. > > As noted, a detailed answer is way beyond here. R has packages that probably > let you add things and it has too many object-oriented subsystems, most of > them not complete. > > Good Luck, > > Avi > > -----Original Message----- > From: R-help <r-help-boun...@r-project.org> On Behalf Of Catherine Walt > Sent: Thursday, October 28, 2021 2:57 AM > To: r-help@r-project.org > Subject: [R] R vs Numpy > > Hello members, > > I am familiar with python's Numpy. > Now I am looking into R language. > What is the main difference between these two languages? including > advantages or disadvantages. > > Thanks. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
