Memory management in NumPy — NumPy v2.6.dev0 Manual

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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

Typing (numpy.typing)

Python types and C-structures

System configuration

Array iterator API

Generalized universal function API

NumPy core math library

C API deprecations

Array API standard compatibility

CPU/SIMD optimizations

Global Configuration Options

Testing guidelines

Status of numpy.distutils and migration advice

Historical overview#

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating

numpy.ndarray.strides

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating

numpy.ndarray.shape

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating

numpy.ndarray.data

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating

Historical overview#

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating

Context Local State

The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating