Re: Using Django and R in a production environment?

We have up on R altogether and switched to using pandas and related Python modules.

Our conclusion was that R is great for the desktop but not well suited to a dynamic web environment (happy to be proved wrong, of course).

On Saturday, 3 October 2015 17:55:38 UTC+2, Chanat Praserthdam wrote:

Hi Derek,

Did you find the solution to your problem?
I ran to a similar issue.  I am wondering if RServe will work for me.


On Tuesday, April 30, 2013 at 12:40:01 PM UTC-7, Derek wrote:

Thanks Nick; RStudio looks like a really good tool for development work.

The impression I get though, is that the server is designed for allowing interactive R sessions over the web; whereas for us Django is the primary requirement and calls to R should happen "behind the scenes". 

On Tuesday, 30 April 2013 15:43:01 UTC+2, Nick Santos wrote:

Is Django a hard and fast requirement? If so, is it just about integrating the routines? I think otherwise something like RStudio Server would work for you. I've deployed it previously and it was a pretty nice setup. It's based on Unix user accounts, so R processes run as if users were running them on a desktop, except not. You may be able to share code in this environment too, but I haven't played with it a ton.

http://www.rstudio.com/ide/docs/server/getting_started

-Nick

On Tue, Apr 30, 2013 at 12:06 AM, Derek <game...@gmail.com> wrote:

" if you write your own R  analysis routines, why have them run in a web system"

Two issues here:

1. We are writing R routines for someone else; who needs 'analysis on demand'

2. A web system means that multiple users in multiple locations can all readily access the same analysis routines (but with different data sets)

I agree that if you work on a desktop, with no need to access shared data or use the same analysis routines as anyone else, then a web interface makes no sense.

Basically we are trying to harness two disparate systems; each of which is very powerful in their own sphere, to create an application that is really useful for better and more efficient science.

On 29 April 2013 16:59, Javier Guerra Giraldez <jav...@guerrag.com> wrote:

On Mon, Apr 29, 2013 at 2:13 AM, Derek <game...@gmail.com> wrote:
> hat no one is actually using R in a production environment themselves (which
> is a little surprising to me).


well R itself is widely used in production... but the intersection
with Django is very small.  (after all, if you write your own R
analysis routines, why have them run in a web system)

--
Javier

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