.. toctree:: :maxdepth: 1 :hidden: User Guide <user/index> API reference <reference/index> Development <dev/index>
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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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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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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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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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