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Getting Started
Installation
Basic Usage
FAQ
User Guide
Core Concepts
Block arrays
Backends
Kernels
Running NumS on a Cluster
View Semantics
Benchmarks
API Reference
Array Objects
Array Creation Routines
nums.numpy.empty
nums.numpy.empty_like
nums.numpy.eye
nums.numpy.identity
nums.numpy.ones
nums.numpy.ones_like
nums.numpy.zeros
nums.numpy.zeros_like
nums.numpy.array
nums.numpy.copy
nums.numpy.loadtxt
nums.numpy.arange
nums.numpy.linspace
nums.numpy.logspace
nums.numpy.diag
Array Manipulation Routines
nums.numpy.copyto
nums.numpy.shape
nums.numpy.reshape
nums.numpy.swapaxes
nums.numpy.transpose
nums.numpy.atleast_1d
nums.numpy.atleast_2d
nums.numpy.atleast_3d
nums.numpy.expand_dims
nums.numpy.squeeze
nums.numpy.asarray
nums.numpy.concatenate
nums.numpy.vstack
nums.numpy.hstack
nums.numpy.dstack
nums.numpy.column_stack
nums.numpy.row_stack
nums.numpy.split
nums.numpy.append
nums.numpy.reshape
Binary Operations
nums.numpy.bitwise_not
nums.numpy.bitwise_and
nums.numpy.bitwise_or
nums.numpy.bitwise_xor
nums.numpy.left_shift
nums.numpy.right_shift
Constants
Input and Output
Linear Algebra
Logic Functions
Mathematical Functions
Sorting, Searching, and Counting
Statistics
Developer Guides
Architecture
Contributing Code
Finding an issue to work on
Setting up your development environment
Testing and linting your code
Adding documentation
Submitting a pull request
Release Process
Community
Discord
StackOverflow
repository
open issue
.md
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Block arrays
Block arrays
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