NumPy

E17659
Python library open-source software scientific computing library software library

NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.

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Observed surface forms (4)

Surface form Occurrences
NumPy API subset 1
Numerical Python 1
jax.numpy 1

Statements (60)

Predicate Object
instanceOf Python library ⓘ
open-source software ⓘ
scientific computing library ⓘ
software library ⓘ
abbreviationOf NumPy self-linksurface differs ⓘ
surface form: Numerical Python
compatibleWith Python reference implementation (CPython) ⓘ
surface form: CPython

PyPy ⓘ
coreDataStructure NumPy self-linksurface differs ⓘ
surface form: numpy.ndarray
hasAPI C-API ⓘ
Python API ⓘ
hasPrimaryLanguage Python ⓘ
implements multidimensional array ⓘ
n-dimensional array ⓘ
influenced CuPy ⓘ
JAX ⓘ
PyTorch ⓘ
SciPy ⓘ
TensorFlow ⓘ
pandas ⓘ
scikit-learn ⓘ
license BSD license ⓘ
openSource true ⓘ
partOf SciPy ⓘ
surface form: Python scientific stack
programmingLanguage Python ⓘ
provides Fourier transform functions ⓘ
array indexing tools ⓘ
broadcasting ⓘ
linear algebra routines ⓘ
masked arrays ⓘ
ndarray ⓘ
numerical integration helpers ⓘ
random number generation ⓘ
universal functions ⓘ
vectorized operations ⓘ
supports boolean indexing ⓘ
broadcasting over dimensions ⓘ
broadcasting semantics ⓘ
complex numbers ⓘ
double-precision floats ⓘ
fancy indexing ⓘ
integer types ⓘ
memory-mapped arrays ⓘ
single-precision floats ⓘ
structured arrays ⓘ
vectorized computation ⓘ
usedBy data scientists ⓘ
engineers ⓘ
machine learning practitioners ⓘ
scientists ⓘ
usedFor data analysis ⓘ
image processing ⓘ
machine learning workflows ⓘ
numerical computing ⓘ
prototyping numerical algorithms ⓘ
scientific computing ⓘ
signal processing ⓘ
simulation ⓘ
statistical computing ⓘ
writtenIn C ⓘ
Python ⓘ

Referenced by (18)

Full triples — surface form annotated when it differs from this entity's canonical label.

NumPy → abbreviationOf → NumPy self-linksurface differs ⓘ
this entity surface form: Numerical Python
SciPy → builtOn → NumPy ⓘ
pandas → commonlyUsedWith → NumPy ⓘ
sns → commonlyUsedWith → NumPy ⓘ
CuPy → compatibleWith → NumPy ⓘ
Gymnasium → compatibleWith → NumPy ⓘ
Matplotlib → compatibleWith → NumPy ⓘ
NumPy → coreDataStructure → NumPy self-linksurface differs ⓘ
this entity surface form: numpy.ndarray
Python → dataScienceLibrary → NumPy ⓘ
SciPy → dependsOn → NumPy ⓘ
pandas → dependsOn → NumPy ⓘ
JAX → hasComponent → NumPy ⓘ
this entity surface form: jax.numpy
JAX → implements → NumPy ⓘ
this entity surface form: NumPy API subset
Plotly → integratesWith → NumPy ⓘ
sns → relatedTo → NumPy ⓘ
scikit-learn → uses → NumPy ⓘ