|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:abbreviation
|
gptkb:Numerical_Python
|
|
gptkbp:category
|
gptkb:machine_learning
gptkb:software
data analysis
numerical analysis
scientific computing
|
|
gptkbp:coreDataStructure
|
ndarray
|
|
gptkbp:developer
|
gptkb:Travis_Oliphant
|
|
gptkbp:documentation
|
https://numpy.org/doc/
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
numpy
|
|
gptkbp:importName
|
gptkb:numpy
|
|
gptkbp:influenced
|
gptkb:pandas
gptkb:scikit-learn
gptkb:scipy
jax
pytorch
tensorflow
|
|
gptkbp:influencedBy
|
gptkb:Numarray
Numeric
|
|
gptkbp:latestReleaseVersion
|
1.26.4
2024-01-17
|
|
gptkbp:license
|
gptkb:BSD_License
|
|
gptkbp:logo
|
NumPy logo.svg
|
|
gptkbp:maintainedBy
|
gptkb:NumFOCUS
gptkb:NumPy_Developers
|
|
gptkbp:npmPackage
|
gptkb:numpy
|
|
gptkbp:platform
|
Cross-platform
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:provides
|
gptkb:Fourier_transform
broadcasting
random number generation
linear algebra functions
mathematical functions
ndarray
vectorization
|
|
gptkbp:releaseDate
|
2006
|
|
gptkbp:repository
|
https://github.com/numpy/numpy
|
|
gptkbp:slogan
|
The fundamental package for scientific computing with Python
|
|
gptkbp:sponsor
|
gptkb:NumFOCUS
|
|
gptkbp:supports
|
matrix operations
C/C++ integration
Fortran integration
element-wise operations
multi-dimensional arrays
|
|
gptkbp:usedFor
|
scientific computing
array processing
numerical computation
|
|
gptkbp:website
|
https://numpy.org/
|
|
gptkbp:writtenBy
|
gptkb:Python
gptkb:Cython
C
|
|
gptkbp:bfsParent
|
gptkb:NumPy
|
|
gptkbp:bfsLayer
|
5
|