[Numpy-discussion] ANN: scipy 0.17.0 release

2016-01-23 Thread Evgeni Burovski
Hi, On behalf of the Scipy development team I am pleased to announce the availability of Scipy 0.17.0. This release contains several new features, detailed in the release notes below. 101 people contributed to this release over the course of six months. This release requires Python 2.6, 2.7 or

Re: [Numpy-discussion] ANN: scipy 0.17.0 release

2016-01-23 Thread Evgeni Burovski
23.01.2016 22:12 пользователь "Kiko" написал: > > is it python3.5 compatible? your message and github don't say the same. It is indeed --- thanks for catching it. My typo, my bad. Evgeni > 2016-01-23 19:12 GMT+01:00, Charles R Harris : > > >

Re: [Numpy-discussion] ANN: scipy 0.17.0 release

2016-01-23 Thread Charles R Harris
Congratulations. Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] ANN: scipy 0.17.0 release

2016-01-23 Thread Kiko
is it python3.5 compatible? your message and github don't say the same. 2016-01-23 19:12 GMT+01:00, Charles R Harris : > > > Congratulations. > > Chuck > ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

Re: [Numpy-discussion] ANN: scipy 0.17.0 release

2016-01-23 Thread Kiko
BTW, congratulations and thanks for the hard work 2016-01-23 20:12 GMT+01:00, Kiko : > is it python3.5 compatible? your message and github don't say the same. > > 2016-01-23 19:12 GMT+01:00, Charles R Harris : >> >> >> Congratulations. >> >>

Re: [Numpy-discussion] Make as_strided result writeonly

2016-01-23 Thread Juan Nunez-Iglesias
I've used as_strided before to create an "endless" output array when I didn't care about the result of an operation, just the side effect. See eg here . So I would certainly like option to remain to get a

[Numpy-discussion] Make as_strided result writeonly

2016-01-23 Thread Sebastian Berg
Hi all, I have just opened a PR, to make as_strided writeonly (as default). The reasoning for this change is that an `as_strided` array often have self overlapping memory. However, writing to an array where multiple elements have the identical memory address can be confusing, and the results are

Re: [Numpy-discussion] Make as_strided result writeonly

2016-01-23 Thread Nathaniel Smith
On Sat, Jan 23, 2016 at 1:25 PM, Sebastian Berg wrote: > > Hi all, > > I have just opened a PR, to make as_strided writeonly (as default). The I think you meant readonly :-) > reasoning for this change is that an `as_strided` array often have self > overlapping

[Numpy-discussion] PR #7090: ENH: Added 'doane' and 'sqrt' estimators to np.histogram

2016-01-23 Thread Joseph Fox-Rabinovitz
As someone very new to relatively large projects such as numpy, I was wondering how the process works. I have announced my PR with some small enhancements to the histogram function and fixed up all of the comments that were made (originally to PR 7083). What happens next? All I have to go on is