[TIP] Everybody wants a pony!
sesquile at gmail.com
Wed Apr 1 09:57:53 PDT 2009
On Wed, Apr 1, 2009 at 10:47 AM, Trent Nelson <tnelson at onresolve.com> wrote:
> No idea what the context is here, but I'll chip in anyway.
>> -> I think Titus was referring to non-helpful platforms such as
>> -> hpux/aix/cray/weird mainframes that are now stacked up in his
>> -> that don't have such nice package management.
> We've got Tru64, AIX, HP-UX and Solaris coverage. The latter three are still actively used in the enterprise. Tru64's been EOL'd; the only reason we've got Tru64 coverage is because I *heart* OSF1 and Alphas, and I like the nostalgia.
This is cool. And you are running python apps on these machines?
>> -> My concerns for snakebite would be:
>> -> * Who really cares about those platforms?
> The enterprise? You'd be surprised how little open source OS alternatives like Linux/BSD have penetrated certain markets -- AIX, HP-UX and Solaris are ubiquitous in the enterprise.
Please elaborate on these certain markets. Also has python penetrated
them? Not trying to flame here. I'm really curious.
>> From what Guido said, he doesn't.
> Citation needed ;-)
Umm, from his keynote at PyCon (I was half asleep). But he mentioned
something similar to "maintaining multiple platforms is a pain".
"DVCS should help people who want to track python and have a personal
port to an alternative platform". "We are going to focus support on
the big 3" (Not direct quotes, people at PyCon can
correct/confirm/declare me a heretic....) He didn't explicitly say
what the 'big 3' were, but I'm assumming Win/Mac/Linux.
> (I suspect you might be referring to a recent thread where everyone generally accepted that IRIX was dead and that there's no problem in ripping out chunks of IRIX-dependent code if it's breaking other stuff -- or deprecating support for it going forward. I'm sure he *never* said "Neither I, nor Python, care about HP-UX, AIX or Solaris".)
Nope, referring to PyCon keynote.
Titus, why do scientists care about these platforms? With cheap
commodity hardware it seems most people would scale google style.
Aren't x86 going to be cheaper/faster? I guess if you are talking
about some super optimized fortran compiler, yeah you care, but this
is python we are talking about.
More information about the testing-in-python