Hi,
I'm pleased to announce the availability of the first release candidate of
Scipy 0.14.0. Please try this RC and report any issues on the scipy-dev
mailing list. A significant number of fixes for scipy.sparse went in after
the beta release, so users of that module may want to test this release
On Thu, Apr 3, 2014 at 2:21 PM, Bago wrote:
>
>
>
>>
>> Sturla
>>
>> P.S. Personally I am not convinced "unbiased" is ever a valid argument, as
>> the biased estimator has smaller error. This is from experience in
>> marksmanship: I'd rather shoot a tight series with small systematic error
>> than
> Sturla
>
> P.S. Personally I am not convinced "unbiased" is ever a valid argument, as
> the biased estimator has smaller error. This is from experience in
> marksmanship: I'd rather shoot a tight series with small systematic error
> than scatter my bullets wildly but "unbiased" on the target. It
On Wed, Apr 2, 2014 at 10:06 AM, Sturla Molden wrote:
> wrote:
>
>> pandas came later and thought ddof=1 is worth more than consistency.
>
> Pandas is a data analysis package. NumPy is a numerical array package.
>
> I think ddof=1 is justified for Pandas, for consistency with statistical
> softwa
Traceback (most recent call last):
File "./test_inroute_frame.py", line 1694, in
run_line (sys.argv)
File "./test_inroute_frame.py", line 1690, in run_line
return run (opt, cmdline)
File "./test_inroute_frame.py", line 1115, in run
burst.tr (xbits, freq=freqs[i]+burst.freq_offset
2014-04-03 14:56 GMT+02:00 Julian Taylor :
> FYI, binaries linking openblas should add this patch in some way:
> https://github.com/numpy/numpy/pull/4580
>
> Cliffs: linking OpenBLAS prevents parallelization via threading or
> multiprocessing.
>
> just wasted a bunch of time figuring that out ... (
wrote:
> pandas came later and thought ddof=1 is worth more than consistency.
Pandas is a data analysis package. NumPy is a numerical array package.
I think ddof=1 is justified for Pandas, for consistency with statistical
software (SPSS et al.)
For NumPy, there are many computational tasks whe
alex wrote:
> I don't have any opinion about this debate, but I love the
> justification in that thread "Any surprise that is created by the
> different default should be mitigated by the fact that it's an
> opportunity to learn something about what you are doing."
That is so true.
Sturla
_
On Wed, Apr 2, 2014 at 7:52 AM, Matthew Brett wrote:
> Hi,
>
> On Tue, Apr 1, 2014 at 4:46 PM, David Cournapeau
> wrote:
> >
> >
> >
> > On Wed, Apr 2, 2014 at 12:36 AM, Nathaniel Smith wrote:
> >>
> >> On Tue, Apr 1, 2014 at 11:58 PM, David Cournapeau
> >> wrote:
> >> > On Tue, Apr 1, 2014 at
FYI, binaries linking openblas should add this patch in some way:
https://github.com/numpy/numpy/pull/4580
Cliffs: linking OpenBLAS prevents parallelization via threading or
multiprocessing.
just wasted a bunch of time figuring that out ... (though its well
documented in numerous stackoverflow
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