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

gonghang.naoc ghang.naoc at gmail.com
Wed Aug 13 12:07:03 EDT 2014


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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