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
On Wed, Apr 2, 2014 at 7:52 AM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
On Tue, Apr 1, 2014 at 4:46 PM, David Cournapeau courn...@gmail.com
wrote:
On Wed, Apr 2, 2014 at 12:36 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Apr 1, 2014 at 11:58 PM, David Cournapeau
alex argri...@ncsu.edu 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.
josef.p...@gmail.com 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
2014-04-03 14:56 GMT+02:00 Julian Taylor jtaylor.deb...@googlemail.com:
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
Traceback (most recent call last):
File ./test_inroute_frame.py, line 1694, in module
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,
On Wed, Apr 2, 2014 at 10:06 AM, Sturla Molden sturla.mol...@gmail.com wrote:
josef.p...@gmail.com 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
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 is the
On Thu, Apr 3, 2014 at 2:21 PM, Bago mrb...@gmail.com 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
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
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