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numpy
Artifacts are distributable versions of a package. It typically includes the source code and metadata
Advanced tools
It provides: - 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 - and much more Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. All NumPy wheels distributed on PyPI are BSD licensed.
FAQs
Fundamental package for array computing in Python
The pypi package numpy receives a total of 271,606,385 weekly downloads. As such, numpy popularity was classified as popular.
We found that numpy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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