[Distutils] What's special about numpy, scipy, ...was: Remove distutils, was: red, green, refactor ...

[Thomas Güttler]

Am 22.10.2015 um 09:28 schrieb anatoly techtonik:
> On Wed, Oct 21, 2015 at 10:10 PM, Thomas Güttler <guettliml at thomas-guettler.de <mailto:guettliml at thomas-guettler.de>> wrote:
> 
>     Am 21.10.2015 um 18:46 schrieb Chris Barker:
>      > On Wed, Oct 21, 2015 at 9:34 AM, Thomas Güttler <guettliml at thomas-guettler.de <mailto:guettliml at thomas-guettler.de> <mailto:guettliml at thomas-guettler.de <mailto:guettliml at thomas-guettler.de>>> wrote:
>      >
>      >     I ask myself: Why a standard? I see that a standard is very important if there will be
>      >     several implementations (for example TCP/IP, protocols like HTTP, SMTP, IMAP, ...)
>      >
>      >     But here a single implementation for creating and installing packages would be enough.
>      >
>      >     Is a standard really needed?
>      >
>      >
>      > Yes -- because of exactly what you say above -- we really can't have a SINGLE build system that will well support everything --
>      >  the common use-caes, sure (distutils already does that), but when it comes to bulding complex packages like numpy, sciPy, etc, it's really inadequate.
> 
>     What happens if the common use cases are inadequate?
> 
>     My guess: re-inventing the same stuff over and over again. Once in numpy, once in scipy ...
> 
>     Why should it be impossible to get all the needs of numpy and scipy into setuptools?
> 
>     I have a dream: For packaging and building package provides only **data**. Data is condition-less: No single "if", "def" or method call. Just data: json or yaml ...
> 
>     Even for complex packages.
> 
>     This data gets processed by setuptools. I don't see a need for more than one library doing this. Plugins are nice and can solve edge cases.
> 
> 
> setuptools is one bloated piece of code that contains too much features. I'd prefer more lean and mean package.

Yes, your are rigth. I'd like a lean and mean package, too.

Regards,
  Thomas Güttler



-- 
http://www.thomas-guettler.de/