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NumFOCUS

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NumFOCUS Reviews

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Sudhakar D.
SD
Sudhakar D.
Senior Software Engineer at Rave Technologies - A Northgate Public Services Company
01/15/2019
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Verified Current User
Review source: G2 invite
Incentivized Review

Perfect package for doing array computation

Its easier to import the package and use the various functionalty for manipulating the array. Can do N-dimensional array very easily.
Verified User in Defense & Space
UD
Verified User in Defense & Space
01/14/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

An essential for data

Numpy is so essential that most third-party libraries nearly require you to use it to use their libraries. It's ingrained into the Python community and has a ton of online support. The library is easy to use and you can use the product of the API in a number of other libraries.
Monica M.
MM
Monica M.
Software Engineering Intern at UnitedHealthGroup
11/23/2018
Validated Reviewer
Review source: Seller invite

NumPy - Review

Allows you to scientifically compute on Python.

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What is NumFOCUS?

NumFOCUS is a non-profit organization that supports and promotes open-source software initiatives aimed at the fields of data science and scientific research. It is dedicated to fostering an inclusive community that encourages the use of open-source software for better reproducibility in science. NumFOCUS is behind several prominent projects such as NumPy, pandas, Jupyter, and more, providing them with fiscal, legal, and administrative support to help ensure their growth and sustainability.The URL provided (https://pypi.org/project/numpy/) leads to the PyPI (Python Package Index) page for NumPy, which is one of the key projects supported by NumFOCUS. NumPy is a fundamental package for scientific computing in Python, offering support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

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pypi.org