On Thu, Dec 24, 2009 at 4:57 PM, David Cournapeau <courn...@gmail.com>wrote:
> On Wed, Dec 23, 2009 at 1:41 AM, Gökhan Sever <gokhanse...@gmail.com> > wrote: > > > > > > On Tue, Dec 22, 2009 at 9:05 AM, David Cournapeau <courn...@gmail.com> > > wrote: > >> > >> Hi, > >> > >> I have just released the 2nd release candidate for numpy 1.4.0, which > >> fixes a few critical bugs founds since the RC1. Tarballs and binary > >> installers for numpy/scipy may be found on > >> https://sourceforge.net/projects/numpy. > >> > >> cheers, > >> > >> David > >> _______________________________________________ > >> NumPy-Discussion mailing list > >> NumPy-Discussion@scipy.org > >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > This release results with the same import error on my system that I > posted > > on > > Don't use develop, and install numpy normally, but from scratch. > Develop mode has some quircks, and it does not worth it unless you > want to work on numpy code yourself IMHO, > OK, a clean svn check-out and python setup.py install I get another interesting import error: [gse...@ccn ~]$ pwd /home/gsever [gse...@ccn ~]$ python Python 2.6 (r26:66714, Jun 8 2009, 16:07:26) [GCC 4.4.0 20090506 (Red Hat 4.4.0-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/gsever/Desktop/python-repo/numpy/numpy/__init__.py", line 123, in <module> raise ImportError(msg) ImportError: Error importing numpy: you should not try to import numpy from its source directory; please exit the numpy source tree, and relaunch your python intepreter from there. >>> I launch the interpreter from a different directory than where the sources located, however it still complains. For the develop, it is one of easiest ways to catch up the bug-fixes even though I don't work on the source directly. So far besides a few glitches it was always working. I also install scipy, ipython, matplotlib, sympy and all other available packages using develop. Keep the checkouts in the directory on my desktop and if/when necessary do svn up or whichever command it corresponds to their respective vcs. I wonder how other people keep up the changes easily without using develop option. > > cheers, > > David > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Gökhan
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