NumPy: Difference between revisions
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* [[Python]] | * [[Python]] | ||
== Non- | == Non-Multilib == | ||
Compile the package: | |||
python setup.py install --prefix=/usr | python setup.py --prefix=/usr build | ||
Install the package | |||
python setup.py --prefix=/usr install | |||
== Multilib == | |||
=== 32Bit === | |||
Compile the package: | |||
USE_ARCH=32 python setup.py --prefix=/usr build | |||
Install the package | |||
USE_ARCH=32 python setup.py --prefix=/usr install | |||
=== N32 === | |||
Compile the package: | |||
USE_ARCH=n32 python setup.py --prefix=/usr build | |||
Install the package | |||
USE_ARCH=n32 python setup.py --prefix=/usr install | |||
=== 64Bit === | |||
Compile the package: | |||
USE_ARCH=64 python setup.py --prefix=/usr build | |||
Install the package | |||
USE_ARCH=64 python setup.py --prefix=/usr install | |||
== Contents == | == Contents == | ||
Revision as of 14:54, 22 September 2008
| Download Source: | http://downloads.sourceforge.net/numpy/numpy-1.3.0.tar.gz |
|---|
Introduction to NumPy
NumPy is the fundamental package for scientific computing with Python. It replaces Numeric.
Project Homepage: http://numpy.scipy.org
Dependencies
Required
Non-Multilib
Compile the package:
python setup.py --prefix=/usr build
Install the package
python setup.py --prefix=/usr install
Multilib
32Bit
Compile the package:
USE_ARCH=32 python setup.py --prefix=/usr build
Install the package
USE_ARCH=32 python setup.py --prefix=/usr install
N32
Compile the package:
USE_ARCH=n32 python setup.py --prefix=/usr build
Install the package
USE_ARCH=n32 python setup.py --prefix=/usr install
64Bit
Compile the package:
USE_ARCH=64 python setup.py --prefix=/usr build
Install the package
USE_ARCH=64 python setup.py --prefix=/usr install
Contents
| Installed Directories: | /usr/lib/python2.5/site-packages/numpy |
|---|---|
| Installed Programs: | f2py |
| Installed Libraries: | None |
Short Descriptions
| f2py | is a program generates a Python C/API file (<modulename>module.c) that contains wrappers for given fortran functions so that they can be called from Python. |
|---|
