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User Guide <user/index>
API reference <reference/index>
Development <dev/index>
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Download documentation: PDF Version | Historical versions of documentation
Useful links: Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List
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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:img-top: ../source/_static/index-images/getting_started.svg
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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:text: To the contributor's guide
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Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
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All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them