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NumFOCUS

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Chandresh M.
CM
Chandresh M.
System Engineer at TCS | AI | ML | AR | Learning Everyday
10/08/2021
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Review source: G2 invite
Incentivized Review

Best library for mathematical processing in python

The best thing about NumPy is its array implementation. I can implement 1D, 2D and more dimensions of the array. I can also change the data type of array. I can use NumPy for Image Processing. It is a very fast library for mathematical operations.
Carlos A.
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Carlos A.
Electromechanical engineer
03/08/2021
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BD
Bhawin D.
06/24/2020
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Review source: G2 invite
Incentivized Review

The perfect library for math and many more.

NumPy has so many functionality. I think the mostly used package in data science is NumPy and Pandas.

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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