numpy

GitHub describes it as The fundamental package for scientific computing with Python.. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as The fundamental package for scientific computing with Python.. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. The README describes the project this way: - Website: https://numpy.org - Documentation: https://numpy.org/doc - Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion - Source code: https://github.com/numpy/numpy - Contributing: https://numpy.org/devdocs/dev/index.html - Bug reports: https://github.com/numpy/numpy/issues - Report a security vulnerability: https://github.com/numpy/numpy/security/policy (via Tidelift)

The README section "README details" states: - a powerful N-dimensional array object - sophisticated (broadcasting) functions - tools for integrating C/C++ and Fortran code - useful linear algebra, Fourier transform, and random number capabilities

The README section "README details" states: NumPy requires pytest . In addition, there are a number of optional test dependencies, like Meson for testing the NumPy C API, Cython for testing the NumPy Cython API, and Hypothesis for additional property-based tests.

The README section "README details" states: NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive.

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README