If you are looking for expertise in answering questions about NumPy, the pool of experts will be smaller here than in a forum whose topic is NumPy.
I don't know what "BIO" means... if it alludes to biostatistics then there is a whole separate Bioconductor project that specializes in applying R to that category of problem. Having a large pool of people building tools that you can use and answer questions about should count for something... but they do have their own forums dedicated to that specialty. https://support.bioconductor.org/ https://www.biostars.org/p/414140/ On October 29, 2021 12:14:21 AM PDT, Catherine Walt <w...@purpleemail.com> wrote: >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. -- Sent from my phone. Please excuse my brevity. ______________________________________________ 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.
