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gptkbp:instanceOf
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gptkb:software
|
|
gptkbp:category
|
data analysis
scientific computing
numerical computing
|
|
gptkbp:coreDataStructure
|
ndarray
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|
gptkbp:developer
|
gptkb:Travis_Oliphant
|
|
gptkbp:documentation
|
https://numpy.org/doc/
|
|
gptkbp:feature
|
broadcasting
matrix operations
random sampling
file I/O
vectorization
statistics functions
FFT (Fast Fourier Transform)
integration with C/C++ and Fortran
linear algebra routines
masked arrays
memory mapping
polynomial functions
sorting and searching
universal functions (ufuncs)
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NumPy
|
|
gptkbp:influenced
|
gptkb:TensorFlow
gptkb:Pandas
gptkb:JAX
gptkb:PyTorch
gptkb:SciPy
|
|
gptkbp:influencedBy
|
gptkb:Numarray
Numeric
|
|
gptkbp:latestReleaseVersion
|
1.26.4
2024-01-17
|
|
gptkbp:license
|
gptkb:BSD_License
|
|
gptkbp:maintainedBy
|
gptkb:NumPy_Developers
|
|
gptkbp:npmPackage
|
gptkb:numpy
|
|
gptkbp:platform
|
gptkb:Windows
gptkb:macOS
gptkb:Linux
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:provides
|
gptkb:Fourier_transform
random number generation
linear algebra functions
mathematical functions
multidimensional array object
tools for integrating C/C++ and Fortran code
|
|
gptkbp:releaseDate
|
2006
|
|
gptkbp:repository
|
https://github.com/numpy/numpy
|
|
gptkbp:usedBy
|
gptkb:TensorFlow
gptkb:Pandas
gptkb:PyTorch
gptkb:SciPy
gptkb:scikit-learn
|
|
gptkbp:website
|
https://numpy.org/
|
|
gptkbp:writtenBy
|
gptkb:Python
C
|
|
gptkbp:bfsParent
|
gptkb:software
|
|
gptkbp:bfsLayer
|
4
|