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Diffstat (limited to 'numpy/f2py/docs/FAQ.txt')
| -rw-r--r-- | numpy/f2py/docs/FAQ.txt | 36 |
1 files changed, 18 insertions, 18 deletions
diff --git a/numpy/f2py/docs/FAQ.txt b/numpy/f2py/docs/FAQ.txt index e2ed79445..416560e92 100644 --- a/numpy/f2py/docs/FAQ.txt +++ b/numpy/f2py/docs/FAQ.txt @@ -93,30 +93,30 @@ If upgrading from F2PY version 2.3.321 or earlier then remove all f2py specific files from ``/path/to/python/bin`` directory before running installation command. -Q: How to get/upgrade scipy_distutils when using F2PY from CVS? +Q: How to get/upgrade numpy_distutils when using F2PY from CVS? --------------------------------------------------------------- -To get scipy_distutils from SciPy CVS repository, run +To get numpy_distutils from SciPy CVS repository, run :: cd cvs/f2py2e/ - make scipy_distutils + make numpy_distutils -This will checkout scipy_distutils to the current directory. +This will checkout numpy_distutils to the current directory. -You can upgrade scipy_distutils by executing +You can upgrade numpy_distutils by executing :: - cd cvs/f2py2e/scipy_distutils + cd cvs/f2py2e/numpy_distutils cvs update -Pd and install it by executing :: - cd cvs/f2py2e/scipy_distutils - python setup_scipy_distutils.py install + cd cvs/f2py2e/numpy_distutils + python setup_numpy_distutils.py install -In most of the time, f2py2e and scipy_distutils can be upgraded +In most of the time, f2py2e and numpy_distutils can be upgraded independently. Testing @@ -210,9 +210,9 @@ See the section `Setting up environment`__ for Cygwin and MinGW. __ http://cygwin.com/ __ http://www.mingw.org/ -__ http://cens.ioc.ee/~pearu/scipy/BUILD_WIN32.html#setting-up-environment +__ http://cens.ioc.ee/~pearu/numpy/BUILD_WIN32.html#setting-up-environment -Install scipy_distutils and F2PY. Win32 installers of these packages +Install numpy_distutils and F2PY. Win32 installers of these packages are provided in `F2PY Download`__ section. __ http://cens.ioc.ee/projects/f2py2e/#download @@ -412,14 +412,14 @@ This question may be releavant when using F2PY in Makefiles. Here follows a script demonstrating how to determine which Fortran compiler and flags F2PY will use:: - # Using post-0.2.2 scipy_distutils - from scipy_distutils.fcompiler import new_fcompiler + # Using post-0.2.2 numpy_distutils + from numpy_distutils.fcompiler import new_fcompiler compiler = new_fcompiler() # or new_fcompiler(compiler='intel') compiler.dump_properties() - # Using pre-0.2.2 scipy_distutils + # Using pre-0.2.2 numpy_distutils import os - from scipy_distutils.command.build_flib import find_fortran_compiler + from numpy_distutils.command.build_flib import find_fortran_compiler def main(): fcompiler = os.environ.get('FC_VENDOR') fcompiler_exec = os.environ.get('F77') @@ -513,7 +513,7 @@ __ https://geodoc.uchicago.edu/climatewiki/WrappingBenchmarks + `Performance Python with Weave`__ by Prabhu Ramachandran. -__ http://www.scipy.org/documentation/weave/weaveperformance.html +__ http://www.numpy.org/documentation/weave/weaveperformance.html + `How To Install py-f2py on Mac OSX`__ @@ -527,7 +527,7 @@ Q: What projects use F2PY? + `SciPy: Scientific tools for Python`__ -__ http://www.scipy.org/ +__ http://www.numpy.org/ + `The Bolometer Data Analysis Project`__ @@ -573,7 +573,7 @@ Here are some comments people have posted to f2py mailing list and c.l.py: + Fernando Perez: Anyway, many many thanks for this amazing tool. I haven't used pyfort, but I can definitely vouch for the amazing quality of - f2py. And since f2py is actively used by scipy, it won't go unmaintained. + f2py. And since f2py is actively used by numpy, it won't go unmaintained. It's quite impressive, and very easy to use. + Kevin Mueller: First off, thanks to those responsible for F2PY; |