[AstroPy] Buridan's ass-----what combo should I choose?

Perry Greenfield stsci.perry at gmail.com
Wed Aug 13 12:16:20 EDT 2014


Oh, it is :-).

We don't write any software for IRAF and haven't in years (though we have much legacy code in it). We are almost entirely focussed on Python these days.

Perry

On Aug 13, 2014, at 12:07 PM, gonghang.naoc wrote:

> oh,two pythoners in one single post. Python should be very popular at STSCI.
> 
> 
> On Wed, Aug 13, 2014 at 11:48 PM, Chris Sontag <sontag at stsci.edu> wrote:
> PyRAF *can* technically work alone (without IRAF), but this would only be useful in very limited situations.  This is probably not your use case.
> 
> PyRAF is not a replacement for IRAF, it is a Python shell around it, and a Python API to it.  It does not include IRAF.
> 
> For nearly all such cases, you do actually want IRAF tasks in your work-flow (you would know this, not I), and if so, then you do want to install IRAF.  To install IRAF, simply use Ureka or go to iraf.net.  I agree Ureka works very well for this (though I also work at STScI).
> 
> Chris
> 
> 
> 
> On 8/13/14 11:32 AM, gonghang.naoc wrote:
>> I installed both long time ago. I am sure a single pyraf without iraf can work, although there is a something here
>> http://www.stsci.edu/institute/software_hardware/pyraf
>> 'PyRAF can be installed along with an existing IRAF installation'
>> That means pyraf can work alone?
>>  
>> 
>> 
>> On Wed, Aug 13, 2014 at 11:22 PM, Brandon Doyle <bjd2385 at rit.edu> wrote:
>> I've been looking into PyRAF...so it requires that you have IRAF installed on your computer?
>> 
>> 
>> On Wed, Aug 13, 2014 at 11:21 AM, gonghang.naoc <ghang.naoc at gmail.com> wrote:
>> Yes,I need it. I am thinking about which 'iraf' I should use, the standalone version of NOAO, Ureka or pyraf?
>> 
>> 
>> On Wed, Aug 13, 2014 at 11:15 PM, Perry Greenfield <stsci.perry at gmail.com> wrote:
>> So you don't really need IRAF? Or are you installing that separately (and layering pyraf onto                                 anaconda)?
>> 
>> Perry
>> 
>> On Aug 13, 2014, at 11:13 AM, gonghang.naoc wrote:
>> 
>> > Hi Tom, Erik,
>> > Thank you both. Glad to hear there is a simple choice. I will stick with Anaconda.
>> > best
>> > hang
>> >
>> >
>> > On Wed, Aug 13, 2014 at 10:25 PM, Erik Bray <embray at stsci.edu> wrote:
>> > On 08/13/2014 02:53 AM, Thomas Robitaille wrote:
>> > > Hi Hang,
>> > >
>> > > I doubt you will get a single answer here, but I think Anaconda is now
>> > > widely thought to be a good solution for a generic Scientific Python
>> > > installation, but Ureka is probably what you want since you also want IRAF:
>> > >
>> > > http://ssb.stsci.edu/ureka/
>> > >
>> > > http://ssb.stsci.edu/ureka/1.4.1/docs/components.html
>> >
>> > As an aside, you also listed separately Numpy, SciPy, EPD, Ureka, and Anaconda.
>> >
>> > First of all EPD no longer exists as such and now is called Canopy.  All of
>> > Canopy, Anaconda, and Ureka are standalone scientific Python *distributions*,
>> > each with their own copies of Python itself, Numpy, SciPy, and many other
>> > popular packages.  In principle they can all coexist on your system, though if
>> > you have to ask I'd recommend deciding which one best suits your needs and
>> > sticking with just the one.
>> >
>> > As Tom said, if you need IRAF you should use Ureka, as it's the only scientific
>> > Python distribution developed specifically for the Astronomy community and that
>> > includes IRAF and Pyraf.  Full disclosure: I work for STScI which is the primary
>> > contributor to Ureka, but I don't personally have much connection to the project
>> > and don't use it personally.  I hear it works pretty well though.
>> >
>> > Erik
>> >
>> > >
>> > > gonghang.naoc wrote:
>> > >> Hi,
>> > >> I reinstalled my system just now. The previsous system had a mess of
>> > >> python modules with chaotic dependency. Could somebody please give me a
>> > >> simple list to instll? Potentially I need numpy,scipy,epd,
>> > >> ureka,iraf,pyraf, anaconda or somethig else which you can suggest.
>> > >>
>> > >> A simple and versatile combo is the best.
>> > >>
>> > >> Thanks.
>> > >> best
>> > >>
>> > >> hang
>> > >>
>> > >>
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