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NumFOCUS

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26 reviews
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4.7
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NumFOCUS Reviews

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DY
Dim Y.
01/19/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

very good for data analysis

The multi functionality and flexibility of the package, also the ingration with pythin is excellent
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
01/18/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Great Package

I love the numpy download because it allows me to add in unique graphics for clients. I am constantly using the download to rearrange arrays into multidimensional arrays. The package is VERY easy to use and I use it while coding with Python. I like that the package makes it very easy to set up data frames. I love using it for machine learning purposes as well as data science. Machine learning can get very complicated so numpys makes it a lot easier.
daniel a.
DA
daniel a.
Bioinformatics research assistant at The University of Texas Rio Grande Valley
01/18/2019
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

easy to use

how easy it is to manipulate arrays and turn data into matrixs to use for tensorflow

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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