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NEPs
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NumPy’s module structure
Array objects
Universal functions (
ufunc
)
Routines and objects by topic
Constants
Array creation routines
Array manipulation routines
Bit-wise operations
String functionality
Datetime support functions
Data type routines
Mathematical functions with automatic domain
Floating point error handling
Exceptions and Warnings
Discrete Fourier Transform
Functional programming
Input and output
Indexing routines
Linear algebra
Logic functions
numpy.all
numpy.any
numpy.isfinite
numpy.isinf
numpy.isnan
numpy.isnat
numpy.isneginf
numpy.isposinf
numpy.iscomplex
numpy.iscomplexobj
numpy.isfortran
numpy.isreal
numpy.isrealobj
numpy.isscalar
numpy.logical_and
numpy.logical_or
numpy.logical_not
numpy.logical_xor
numpy.allclose
numpy.isclose
numpy.array_equal
numpy.array_equiv
numpy.greater
numpy.greater_equal
numpy.less
numpy.less_equal
numpy.equal
numpy.not_equal
Masked array operations
Mathematical functions
Miscellaneous routines
Polynomials
Random sampling
Set routines
Sorting, searching, and counting
Statistics
Test support
Window functions
Typing (
numpy.typing
)
NumPy C-API
Array API standard compatibility
CPU/SIMD optimizations
Thread Safety
Global Configuration Options
NumPy security
Testing guidelines
Status of
numpy.distutils
and migration advice
numpy.distutils
user guide
NumPy and SWIG
NumPy reference
Routines and objects by topic
Logic functions
numpy.isnat
numpy.isnat
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