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NumFOCUS

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numpy download

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NumPy is the fundamental package for scientific computing with Python.

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Ajay S.
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Ajay S.
Senior Software Engineer at fountain9(YC W21) | Co-Founder @Blubyn
01/21/2019
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Numpy is not just efficient, it is convenient also

|numpy download
- In the Numpy matrix and vector operations are efficiently implemented. - NumPy array is faster and You get a lot built in with NumPy, FFTs, convolutions, fast searching, basic statistics, linear algebra, histograms, etc. - I used machine learning libraries like sci-kit-learn or tensorflow use numpy arrays as input which makes the computation faster - It supports vectorized computation - Efficient descriptive statistics and aggregating/summarizing data - In general, Numpy processes faster and uses less code compared to lists.
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Syed I.
01/21/2019
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Greater result for array manipulation

|numpy download
We can perform any types of operation in array using numpy
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Abhishek P.
01/21/2019
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Numpy best for scientific computing with Python

|numpy download
Numpy is one of the best libraries to deal with scientific calculation. what i feel the best in it they provide multiple function and we can say powerful to deal with big calculation and also makes thing easy to programmer. example: i fetch some data from website like quandle or NSE in CSV format and read that csv file and load that data in single list. so what if i want to change the dimension of that list. numpy provide that type of function we can change the dimension by using single function.

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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