The NumPy organization on GitHub hosts a wide range of repositories primarily focused on scientific computing with Python. Notable projects include the core NumPy library and several educational resources like numpy-tutorials. Other languages used in their repositories include C, C++, HTML, Shell, and Assembly.
The fundamental package for scientific computing with Python.
C++ template library for high performance SIMD based sorting algorithms
NumPy tutorials & educational content in notebook format
Standalone package of the NumPy financial functions
Numpy's Sphinx extensions
Experimental typing stubs for NumPy
The NumPy home page
Experimental Typing Stubs for NumPy
Vendored files from Intel's SVML
Repository for example user DTypes using the new API
INACTIVE - abandoned refactoring effort
A cross-platform Quad (128-bit) float Data-Type for NumPy.
Repository for the development of user dtypes for numpy.
Home of NumPy user and reference documentation
Content for the NumPy newsletter, which anyone can sign up for in the numpy.org footer
Archive of documents related to the project governance and management
Additional bitgenerators for the random generators within numpy.
Latest auto-generated development docs
Auto-generated NumPy Enhancement Proposals
SIMD math routines used in NumPy
INACTIVE - this repo is no longer maintained
Prepare content for surveys, and code/tools to analyze the results
Auto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual sources are in https://github.com/numpy/numpy.org
Upstream source code for dependencies
Repo for datetime improvements
Benchmarks used in the numpy.org website content
Repository for building numpy release artifacts and making releases to PyPI
NumPy's friendly fork of the Meson build system
Analysis and publication of NumPy community survey results
default community health files for all repos in the NumPy GitHub org
No description provided for this repository.
No description provided for this repository.
NumPy's friendly fork of meson-python
NumPy builds a variety of projects on GitHub, including the foundational NumPy library for scientific computing, tutorials, and additional packages such as numpy-financial and numpydoc. These resources support both development and education in the Python ecosystem.
The primary programming languages used by NumPy are Python and C, with additional projects utilizing C++, Shell, Assembly, and HTML. This diverse language usage caters to different functionalities within their repositories.
Yes, all of NumPy's repositories on GitHub are public. This transparency allows developers and users to access, contribute to, and learn from their projects, fostering a collaborative environment in the scientific computing community.
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