今回は第3回の冒頭で紹介した、Numpyの導入方法と簡単な使い方について説明します。

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Python入門（後編）NumPy、Pandas、Matplotlibなどのデータ処理ライブラリ使い方 連載：G検定対策講座 0 システム開発ツール・開発言語 ...

1.2 多次元データ構造ndarrayの基礎 NumPyは、多次元配列を基本的なデータ構造として操作するライブラリです。 そのため、NumPyではPythonのリストではなく、効率性などからndarrayという独自のデータ構造を演算に使います。

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...

Image Processing Basics with NumPy Getting Started with Images in Python An image consists of a rectangular array of pixels where each one is assigned a colour. For example, here is an image with 9 ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...