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-About NumPy
-===========
-
-NumPy is the fundamental package
-needed for scientific computing with Python. This package contains:
-
-- a powerful N-dimensional :ref:`array object <arrays>`
-- sophisticated :ref:`(broadcasting) functions <ufuncs>`
-- basic :ref:`linear algebra functions <routines.linalg>`
-- basic :ref:`Fourier transforms <routines.fft>`
-- sophisticated :ref:`random number capabilities <numpyrandom>`
-- tools for integrating Fortran code
-- tools for integrating C/C++ code
-
-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.
-
-NumPy is a successor for two earlier scientific Python libraries:
-Numeric and Numarray.
-
-NumPy community
----------------
-
-NumPy is a distributed, volunteer, open-source project. *You* can help
-us make it better; if you believe something should be improved either
-in functionality or in documentation, don't hesitate to contact us --- or
-even better, contact us and participate in fixing the problem.
-
-Our main means of communication are:
-
-- `scipy.org website <https://scipy.org/>`__
-
-- `Mailing lists <https://scipy.org/scipylib/mailing-lists.html>`__
-
-- `NumPy Issues <https://github.com/numpy/numpy/issues>`__ (bug reports go here)
-
-- `Old NumPy Trac <http://projects.scipy.org/numpy>`__ (dead link)
-
-More information about the development of NumPy can be found at our `Developer Zone <https://scipy.scipy.org/scipylib/dev-zone.html>`__.
-
-The project management structure can be found at our :doc:`governance page <dev/governance/index>`
-
-
-About this documentation
-========================
-
-Conventions
------------
-
-Names of classes, objects, constants, etc. are given in **boldface** font.
-Often they are also links to a more detailed documentation of the
-referred object.
-
-This manual contains many examples of use, usually prefixed with the
-Python prompt ``>>>`` (which is not a part of the example code). The
-examples assume that you have first entered::
-
->>> import numpy as np
-
-before running the examples.