AI - NumPy
Empowering the scientific computing community with a powerful N-dimensional array package for Python, fostering collaboration through inclusive channels and open-source opportunities.
- Name
- NumPy -https://github.com/numpy/numpy
- Last Audited At
About NumPy
NumPy is a community-led organization that develops and provides the fundamental package for scientific computing using Python. With over 130,000 downloads per week between PyPI and Anaconda, NumPy's impact on the data science and research communities is significant.
They offer an N-dimensional array object with sophisticated functions for broadcasting, as well as tools for integrating C/C++ and Fortran code. Their capabilities extend to linear algebra, Fourier transform, and random number generations.
NumPy encourages collaboration through various channels: a biweekly community call, public mailing list, and open-source contribution opportunities. Their GitHub repository is the primary hub for code improvements and bug reports, while their website provides documentation and ways to contribute.
Contribution opportunities are not limited to coding; NumPy also welcomes help in reviewing pull requests, maintaining and improving their website, developing educational materials, graphic design, translation services, outreach efforts, grant proposals, and more.
NumPy requires testing tools like pytest and hypothesis for code contributions. Their commitment to creating an inclusive, open, and positive community is reflected through their Code of Conduct.
Join the NumPy community by visiting their website (https://www.numpy.org), contributing to their open-source efforts, or engaging with their team on the mailing list or GitHub.