On Aug 26, 11:05 am, Sandy wrote:
> Hi all,
> I basically want all possible matchings of elements from two lists,
> Ex: [1,2] [a,b,c]
>
> Required:
> [ [(1,a),(2,b)]
> [(1,b),(2,c)]
> [(1,c),(2,b)]
> [(1,b),(2,a)]
> [(1,c),(2,a)]
> [(1,a),(2,c)]
> ]
If you're using
On Aug 25, 11:34 pm, Carrie Farberow wrote:
> Ok, here are links to word documents outlining the commands I executed as
> well as the make.log file and the make_install.log file
> [links snipped]
So from the output of make, it looks as though none of the
modules specified in the Modules/Setup fi
On Aug 29, 8:03 pm, Steven D'Aprano wrote:
> On Sat, 29 Aug 2009 11:11:43 -0700, zaur wrote:
> > I thought that int as object will stay the same object after += but with
> > another integer value. My intuition said me that int object which
> > represent integer value should behave this way.
>
> If
On Sep 1, 4:22 pm, Philipp Hagemeister wrote:
> class X(object):
> def __int__(self): return 42
> def __hex__(self): return '2b' #sic
>
> hex(X())
>
> What would you expect? Python2 returns '2b', but python 3(74624) throws
> TypeError: 'X' object cannot be interpreted as an integer. Why do
On Sep 1, 5:31 pm, Philipp Hagemeister wrote:
> Mark Dickinson wrote:
> > (...) If you want to be
> > able to interpret instances of X as integers in the various Python
> > contexts that expect integers (e.g., hex(), but also things like list
> > indexing), you sho
On Sep 2, 2:51 pm, Thomas Philips wrote:
> While the random module allows one to generate randome numbers with a
> variety of distributions, some useful distributions are omitted - the
> Student's t being among them. This distribution is easily derived from
> the normal distribution and the chi-sq
On Sep 2, 2:51 pm, Thomas Philips wrote:
> def student_t(df): # df is the number of degrees of freedom
> if df < 2 or int(df) != df:
> raise ValueError, 'student_tvariate: df must be a integer > 1'
By the way, why do you exclude the possibility df=1 here?
--
Mark
--
http://m
On Sep 2, 6:15 pm, Thomas Philips wrote:
> I mis-spoke - the variance is infinite when df=2 (the variance is df/
> (df-2),
Yes: the variance is infinite both for df=2 and df=1, and Student's t
with df=1 doesn't even have an expectation. I don't see why this
would stop you from generating meanin
On Sep 7, 3:47 pm, kj wrote:
> Is there some standardized way (e.g. some "official" module of such
> limit constants) to get the smallest positive float that Python
> will regard as distinct from 0.0?
>
> TIA!
>
> kj
There's sys.float_info.min:
>>> import sys
>>> sys.float_info
sys.float_info(ma
On Sep 7, 5:08 pm, kj wrote:
> Hmmm. This close-to-the-metal IEEE stuff make a "HERE BE DRAGONS!"
> alarms go off in my head... (What's up with that correction by 1
> to sys.float_info.mant_dig? Or, probably equivalently, why would
> sys.float_info.min_exp (-1021) be off by 1 relative to log2 o
On Sep 7, 3:50 am, gb345 wrote:
> Before I roll my own, is there a good Python module for computing
> the Fisher's exact test stastics on 2 x 2 contingency tables?
Not in the standard library, certainly. Have you tried SciPy
and RPy?
--
Mark
--
http://mail.python.org/mailman/listinfo/python-li
On Sep 15, 2:27 am, Andrew Svetlov wrote:
> Is there some kind of python binding for decNumber library?
> Standard decimal.Decimal is good enough, but very slow.
> My current project toughly coupled with 'currency' operations and we
> have performance problems related to decimal calculations.
> Fr
On Sep 14, 4:05 pm, Scott David Daniels wrote:
> Steven D'Aprano wrote:
> > On Sun, 13 Sep 2009 17:58:14 -0500, Robert Kern wrote:
> > Exactly -- there are 2**53 distinct floats on most IEEE systems, the vast
> > majority of which might as well be "random". What's the point of caching
> > numbers
On Sep 16, 1:35 am, Andrew Svetlov wrote:
> It only reflects the fact what comp.lang.python replicated by several
> web sites.
> Unfortunately looks like there are no link to library implements that :
> (
A few random thoughts:
If you just want fixed-precision decimal, there may be simpler
solut
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