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diff --git a/doc/numpy.scipy.org/source/content.rst b/doc/numpy.scipy.org/source/content.rst new file mode 100644 index 000000000..ee2ac48fd --- /dev/null +++ b/doc/numpy.scipy.org/source/content.rst @@ -0,0 +1,32 @@ +NumPy is the fundamental package needed for scientific computing with Python. It contains among other things: + +- a powerful N-dimensional array object +- sophisticated (broadcasting) functions +- tools for integrating C/C++ and Fortran code +- useful linear algebra, Fourier transform, and random number capabilities. + +Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. + +Getting Started +--------------- + +- `Getting Numpy <http://www.scipy.org/Download>`_ +- `Installing NumPy and SciPy <http://www.scipy.org/Installing_SciPy>`_ +- `NumPy and SciPy documentation page <http://docs.scipy.org/doc/>`_ +- `NumPy Tutorial <http://www.scipy.org/Tentative_NumPy_Tutorial>`_ +- `NumPy for MATLAB© Users <http://www.scipy.org/NumPy_for_Matlab_Users>`_ +- `NumPy functions by category <http://www.scipy.org/Numpy_Functions_by_Category>`_ +- `NumPy Mailing List <http://www.scipy.org/Mailing_Lists>`_ + +More Information +---------------- + +- `NumPy Sourceforge Home Page <http://sourceforge.net/projects/numpy/>`_ +- `SciPy Home Page <http://www.scipy.org/>`_ +- `Interfacing with compiled code <http://www.scipy.org/Topical_Software#head-7153b42ac4ea517c7d99ec4f4453555b2302a1f8>`_ +- :doc:`Older python array packages </old_array_packages>` + +.. toctree:: + :hidden: + + old_array_packages |