|
- NumPy
Open source Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community Interoperable NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries
- NumPy - Learn
For the official NumPy documentation visit numpy org doc stable Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community
- NumPy quickstart — NumPy v2. 3 Manual
NumPy’s main object is the homogeneous multidimensional array It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers In NumPy dimensions are called axes
- NumPy - Installing NumPy
The only prerequisite for installing NumPy is Python itself If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for scientific computing and data science
- What is NumPy? — NumPy v2. 3 Manual
What is NumPy?# NumPy is the fundamental package for scientific computing in Python
- NumPy: the absolute basics for beginners — NumPy v2. 3 Manual
NumPy: the absolute basics for beginners# Welcome to the absolute beginner’s guide to NumPy! NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering
- NumPy Documentation
NumPy 1 22 Manual [Reference Guide PDF] [User Guide PDF] NumPy 1 21 Manual [Reference Guide PDF] [User Guide PDF] NumPy 1 20 Manual [Reference Guide PDF] [User Guide PDF] NumPy 1 19 Manual [Reference Guide PDF] [User Guide PDF] NumPy 1 18 Manual [Reference Guide PDF] [User Guide PDF]
- NumPy user guide — NumPy v2. 3 Manual
NumPy user guide# This guide is an overview and explains the important features; details are found in NumPy reference
|
|
|