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NumPy v2.6.dev0 Manual - Home
Building from source
NumPy’s module structure
Universal functions (ufunc)
Routines and objects by topic
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
numpy.linalg.multi_dot
numpy.linalg.vecdot
numpy.linalg.outer
numpy.linalg.matmul
numpy.linalg.tensordot
numpy.linalg.matrix_power
numpy.linalg.cross
numpy.linalg.cholesky
numpy.linalg.svdvals
numpy.linalg.eigvals
numpy.linalg.eigvalsh
numpy.linalg.matrix_norm
numpy.linalg.vector_norm
numpy.linalg.matrix_rank
numpy.linalg.slogdet
numpy.linalg.trace
numpy.linalg.solve
numpy.linalg.tensorsolve
numpy.linalg.lstsq
numpy.linalg.tensorinv
numpy.linalg.diagonal
numpy.linalg.matrix_transpose
numpy.linalg.LinAlgError
Masked array operations
Mathematical functions
Miscellaneous routines
Sorting, searching, and counting
Typing (numpy.typing)
Array API standard compatibility
CPU/SIMD optimizations
Global Configuration Options
Testing guidelines
Status of numpy.distutils and migration advice
