.. _numpy_docs_mainpage:

###################
NumPy documentation
###################

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   :maxdepth: 1
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   User Guide <user/index>
   API reference <reference/index>
   Development <dev/index>
   release


**Version**: |version|

**Download documentation**:
`Historical versions of documentation <https://numpy.org/doc/>`_
   
**Useful links**:
`Installation <https://numpy.org/install/>`_ |
`Source Repository <https://github.com/numpy/numpy>`_ |
`Issue Tracker <https://github.com/numpy/numpy/issues>`_ |
`Q&A Support <https://numpy.org/gethelp/>`_ |
`Mailing List <https://mail.python.org/mailman/listinfo/numpy-discussion>`_

NumPy is the fundamental package for scientific computing in Python. It is a
Python library that provides a multidimensional array object, various derived
objects (such as masked arrays and matrices), and an assortment of routines for
fast operations on arrays, including mathematical, logical, shape manipulation,
sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra,
basic statistical operations, random simulation and much more.



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        Getting Started
        ^^^^^^^^^^^^^^^

        New to NumPy? Check out the Absolute Beginner's Guide. It contains an
        introduction to NumPy's main concepts and links to additional tutorials.

        +++

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            To the absolute beginner's guide

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        User Guide
        ^^^^^^^^^^

        The user guide provides in-depth information on the
        key concepts of NumPy with useful background information and explanation.

        +++

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            To the user guide

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        API Reference
        ^^^^^^^^^^^^^

        The reference guide contains a detailed description of the functions,
        modules, and objects included in NumPy. The reference describes how the
        methods work and which parameters can be used. It assumes that you have an
        understanding of the key concepts.

        +++

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            To the reference guide

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        Contributor's Guide
        ^^^^^^^^^^^^^^^^^^^

        Want to add to the codebase? Can help add translation or a flowchart to the
        documentation? The contributing guidelines will guide you through the
        process of improving NumPy.

        +++

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            To the contributor's guide

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