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NumFOCUS

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Verified User in Higher Education
UH
Verified User in Higher Education
11/17/2018
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Verified Current User
Review source: G2 invite
Incentivized Review

Great for modeling rasters

I use numpy for modeling in python, it works great for large raster datasets, also it is free
Verified User in Information Technology and Services
CI
Verified User in Information Technology and Services
10/31/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best and fasted way to get stuff done

Complete modularity with all the mathematical tools
Verified User in E-Learning
UE
Verified User in E-Learning
09/30/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review

Powerful arrays for data management in python

Numpy is one of the most important libraries for the data scientist. The main structure of numpy, the numpy arrays, are the most common structure when using most data science libraries in python (for instance scipy, sklearn, etc). Once you get used to numpy arrays, you can see how fast is to do operations with them. I like how numpy arrays allow to reduce cpu time by only changing ordinary arrays by numpy arrays. With few data you can reduce a lot of cpu time, so with a significant amount of data, you can obtain a considerable reduction of time.

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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