Numpy - contents


Martin McBride, 2019-09-14
In section Python libraries



This section covers numpy, a library for performing efficient calculations on large numerical arrays.

Introduction

Creating arrays

Vectorisation

Array operations

Image processing

Visit the PythonInformer Discussion Forum for numeric Python.

If you found this article useful, you might be interested in the book NumPy Recipes, or other books, by the same author.


Tag cloud

2d arrays abstract data type alignment and array arrays bezier curve built-in function close closure colour comparison operator comprehension context conversion data types design pattern device space dictionary duck typing efficiency encryption enumerate filter font font style for loop function function composition function plot functools generator gif gradient greyscale higher order function html image processing imagesurface immutable object index inner function input installing iter iterator itertools lambda function len linspace list list comprehension logical operator lru_cache mandelbrot map monad mutability named parameter numeric python numpy object open operator optional parameter or partial application path positional parameter print pure function radial gradient range recipes recursion reduce rgb rotation scaling sequence slice slicing sound spirograph str stream string subpath symmetric encryption template text text metrics transform translation transparency tuple unpacking user space vectorisation webserver website while loop zip

Copyright (c) Axlesoft Ltd 2020