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-Contents:
+NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:
-.. toctree::
- :maxdepth: 2
+- 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.
-Indices and tables
-==================
+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.
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
+Getting Started
+---------------
+- `Getting Numpy <http://www.scipy.org/Download>`_
+- `Installing NumPy and SciPy <http://www.scipy.org/Installing_SciPy>`_
+- `NumPy Tutorial <http://www.scipy.org/Tentative_NumPy_Tutorial>`_
+- `NumPy for MATLABĀ© 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>`_
+
+Documentation
+-------------
+
+The full documentation for both NumPy and SciPy can be found at the `NumPy and SciPy documentation page <http://docs.scipy.org/doc/>`_
+
+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>` \ No newline at end of file