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NumFOCUS

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25 reviews
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4.7
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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.
Jon V.
JV
Jon V.
Software Engineer
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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