|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:machine_learning
gptkb:mathematics
data analysis
data science
engineering
statistics
|
|
gptkbp:compatibleWith
|
gptkb:Windows
gptkb:macOS
gptkb:Unix
gptkb:Linux
|
|
gptkbp:developer
|
gptkb:NumPy_Developers
gptkb:Travis_Oliphant
|
|
gptkbp:documentation
|
https://numpy.org/doc/
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NumPy library
|
|
gptkbp:influenced
|
gptkb:TensorFlow
gptkb:Pandas
gptkb:PyTorch
gptkb:SciPy
|
|
gptkbp:latestReleaseVersion
|
1.26.4
|
|
gptkbp:license
|
gptkb:BSD_License
|
|
gptkbp:logo
|
https://numpy.org/images/logos/numpy.svg
|
|
gptkbp:maintainedBy
|
gptkb:NumPy_Developers
|
|
gptkbp:predecessor
|
gptkb:Numarray
Numeric
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:provides
|
gptkb:Fourier_transform
random number generation
linear algebra functions
mathematical functions
integration with C/C++ and Fortran
multi-dimensional array object
|
|
gptkbp:releaseDate
|
2006
|
|
gptkbp:repository
|
https://github.com/numpy/numpy
|
|
gptkbp:supports
|
broadcasting
vectorized operations
universal functions
array slicing
|
|
gptkbp:usedBy
|
gptkb:engineer
gptkb:scientist
data scientists
machine learning practitioners
|
|
gptkbp:usedFor
|
scientific computing
numerical computing
|
|
gptkbp:website
|
https://numpy.org/
|
|
gptkbp:writtenBy
|
gptkb:Python
gptkb:Cython
C
|
|
gptkbp:bfsParent
|
gptkb:NumPy_arrays
|
|
gptkbp:bfsLayer
|
7
|