Re: [Numpy-discussion] Numpy BoF at SciPy 2014 - quick report

2014-07-18 Thread Robert Lupton the Good
Having just re-read the PEP I'm concerned that this proposal leaves at least one major (?) trap for naive users, namely x = np.array([1, 10]) print X.T@x which will print 101, not [[1, 10], [10, 100]] Yes, I know why this is happening but it's still a problem -- the user said,

Re: [Numpy-discussion] Which Python to use for Mac binaries

2013-01-07 Thread Robert Lupton the Good
I am sympathetic with this attitude (Avoid using system Python for anything), but I don't think it's the right one. For example, the project I'm working on (HSC/LSST for astrofolk) is using python/C++ for astronomical imaging, and we expect to have the code running on a significant number of

Re: [Numpy-discussion] Making numpy sensible: backward compatibility please

2012-09-28 Thread Robert Lupton the Good
Gael puts in a plea for backward compatibility; I totally agree. Numpy sometimes goes out of its way to make this hard. For example, when the syntax of histogram were changed you got a nice DepreciationWarning about an option to switch to the new behaviour; great. But a few releases later