[Numpy-discussion] how to uninstall numpy
Hi list This is a general python question but I will ask it here. To install a new numpy on Debian testing I remove installed version with aptitude purge python-numpy download numpy source code and install numpy with sudo python setup.py install. If I want to remove the installed numpy how do I proceed? Thanks. Petro ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Licensing question
But the Fortran FFTPACK is GPL, or has the licence been changed? http://people.sc.fsu.edu/~jburkardt/f77_src/fftpack5.1/fftpack5.1.html Sturla Sendt fra min iPad Den 3. aug. 2012 kl. 07:52 skrev Travis Oliphant tra...@continuum.io: This should be completely fine.The fftpack.h file indicates that fftpack code came from Tela originally anyway and was translated from the Fortran code FFTPACK. Good luck with your project. -Travis On Aug 2, 2012, at 3:44 PM, Damon McDougall wrote: Hi, I have a question about the licence for NumPy's codebase. I am currently writing a library and I'd like to release under some BSD-type licence. Unfortunately, my choice to link against MIT's FFTW library (released under the GPL) means that, in its current state, this is not possible. I'm an avid NumPy user and thought to myself that, since NumPy's licence is BSD, I'd be able to use some of the source code (with due credit, of course) instead of FFTW. Is this possible? I mean, can I redistribute *PART* of NumPy's codebase? Namely, the fftpack.c file? I was under the impression that I could only redistribute BSD source code as a whole and then I read the licence more carefully and it states that I can modify the source to suit my needs. I consider 'redistributing a single file and ignoring the other files' as a 'modification' under the BSD definition, but maybe I'm thinking too wishfully here. Any information on this matter would be greatly appreciated since I am a total code licence noob. Thank you. P.S. Yes, I know I could just release under the GPL, but I don't want to turn people off of packaging my work into a useful product licensed under BSD, or even make money from it. -- Damon McDougall http://damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] how to uninstall numpy
On 6 August 2012 11:04, Petro x.pi...@gmail.com wrote: This is a general python question but I will ask it here. To install a new numpy on Debian testing I remove installed version with aptitude purge python-numpy download numpy source code and install numpy with sudo python setup.py install. If I want to remove the installed numpy how do I proceed? Assuming your system Python is 2.7, your numpy should have been installed in /usr/local/lib/python2.7/site-packages/ (or /usr/local/lib/python2.7/dist-packages/ as on Ubuntu?) So something along these lines: $ sudo rm -rf /usr/local/lib/python2.7/site-packages/numpy/ $ sudo rm -rf /usr/local/lib/python2.7/site-packages/numpy-*.egg* $ sudo rm -rf /usr/local/bin/f2py Cheers, Scott ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] how to uninstall numpy
On 8/6/12 5:48 AM, Scott Sinclair wrote: On 6 August 2012 11:04, Petro x.pi...@gmail.com wrote: This is a general python question but I will ask it here. To install a new numpy on Debian testing I remove installed version with aptitude purge python-numpy download numpy source code and install numpy with sudo python setup.py install. If I want to remove the installed numpy how do I proceed? Assuming your system Python is 2.7, your numpy should have been installed in /usr/local/lib/python2.7/site-packages/ (or /usr/local/lib/python2.7/dist-packages/ as on Ubuntu?) So something along these lines: $ sudo rm -rf /usr/local/lib/python2.7/site-packages/numpy/ $ sudo rm -rf /usr/local/lib/python2.7/site-packages/numpy-*.egg* $ sudo rm -rf /usr/local/bin/f2py Or if you have pip installed (easy_install pip) you can: $ pip uninstall numpy (it will uninstall things it hasn't installed, which I think should include the console_script f2py?) Alex Cheers, Scott -- Alex Clark ยท http://pythonpackages.com/ONE_CLICK ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Licensing question
Those are not the original Fortran sources. The original Fortran sources are in the public domain as work done by a US federal employee. http://www.netlib.org/fftpack/ Never trust the license of any code on John Burkardt's site. Track it down to the original sources. On Monday, August 6, 2012, Sturla Molden wrote: But the Fortran FFTPACK is GPL, or has the licence been changed? http://people.sc.fsu.edu/~jburkardt/f77_src/fftpack5.1/fftpack5.1.html Sturla Sendt fra min iPad Den 3. aug. 2012 kl. 07:52 skrev Travis Oliphant tra...@continuum.iojavascript:; : This should be completely fine.The fftpack.h file indicates that fftpack code came from Tela originally anyway and was translated from the Fortran code FFTPACK. Good luck with your project. -Travis On Aug 2, 2012, at 3:44 PM, Damon McDougall wrote: Hi, I have a question about the licence for NumPy's codebase. I am currently writing a library and I'd like to release under some BSD-type licence. Unfortunately, my choice to link against MIT's FFTW library (released under the GPL) means that, in its current state, this is not possible. I'm an avid NumPy user and thought to myself that, since NumPy's licence is BSD, I'd be able to use some of the source code (with due credit, of course) instead of FFTW. Is this possible? I mean, can I redistribute *PART* of NumPy's codebase? Namely, the fftpack.c file? I was under the impression that I could only redistribute BSD source code as a whole and then I read the licence more carefully and it states that I can modify the source to suit my needs. I consider 'redistributing a single file and ignoring the other files' as a 'modification' under the BSD definition, but maybe I'm thinking too wishfully here. Any information on this matter would be greatly appreciated since I am a total code licence noob. Thank you. P.S. Yes, I know I could just release under the GPL, but I don't want to turn people off of packaging my work into a useful product licensed under BSD, or even make money from it. -- Damon McDougall http://damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org javascript:; http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org javascript:; http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org javascript:; http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Robert Kern ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] question about scipy superpack
Hi, I got a new job, and a new mac book pro on which I just installed Mac OS X 10.8. I need to run SWIG to generate a shared object from C++ source that works with numpy.i. I'm considering installing the Scipy Superpack, but I have a question. If I install the Scipy Superpack, which has most of the packages I need, plus some others, will it be able to find numpy/arrayobject.h or do I need to install numpy source and build it myself?In other words, does numpy-1.8.0.dev_f2f0ac0_20120725-py2.7-macosx-10.8-x86_64.egg have the source files needed by gcc to compile the swig-generated C++ wrapper? Cheers, Tom ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
