Re: Using Django and R in a production environment?

One option is to use the conda package manager (you can get that here) to create an environment with 

`conda create --name django+r django=1.8`

activate it with

`source activate django+r`

And then install R packages with something like

`conda install --channel https://conda.anaconda.org/r r-data.table`

You can of also use conda to install pandas and, if you want a bunch of data science libraries at once, you can download the full Anaconda distribution.

On Wed, Oct 7, 2015 at 11:42 AM, Mike Covington <mfcovington@gmail.com> wrote:

Not sure if this approach is useful for you, but the following is how we use R and Django together.

We use R to build Shiny apps. These are served on their default port 3838 (which users never actually go to directly). I've made a Django app to manage the Shiny apps and simply place them in an iframe.

Live site: http://symposium.plb.ucdavis.edu/apps/

Django App: https://github.com/mfcovington/djangocms-shiny-app

On Saturday, October 3, 2015 at 8:55:38 AM UTC-7, 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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