title: "Array creation routines" date: 2026-05-24T13:51:21Z Array creation routines Ones and zeros 1import numpy as np Create a new array of 2*2 integers, without initializing entries. array([[0, 0], [0, 0]]) Let X = np.array([1,2,3], [4,5,6], np.int32). Create a new array with the same shape and type as X. 1X = …

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title: "Array creation routines" date: 2026-05-24T13:51:24Z Array creation routines Ones and zeros 1import numpy as np Create a new array of 2*2 integers, without initializing entries. 1np.empty([2,2], int) array([[0, 0], [0, 0]]) Let X = np.array([1,2,3], [4,5,6], np.int32). Create a new array with the same shape and …

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title: "适合初学者快速入门的Numpy实战全集" date: 2026-05-24T13:49:57Z 适合初学者快速入门的Numpy实战全集 本文由光城同学整理 Numpy是一个用python实现的科学计算的扩展程序库，包括： 1、一个强大的N维数组对象Array； 2、比较成熟的（广播）函数库； 3、用于整合C/C++和Fortran代码的工具包； 4、实用的线性代数、傅里叶变换和随机数生成函数。numpy和稀疏矩阵运算包scipy配合使用更加方便。 NumPy（Numeric Python）提供了许多高级的数值编程工具，如：矩阵数据类型、矢量处理，以及精密的运算库。专为进行严格的数字处理而产生。多为很多大型金融公司使 …

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title: "Random Sampling" date: 2026-05-24T13:50:59Z Random Sampling 1import numpy as np 1np.version '1.11.2' 1__author__ = 'kyubyong. longinglove@nate.com' Simple random data Q1. Create an array of shape (3, 2) and populate it with random samples from a uniform distribution over [0, 1). array([[ 0.13879034, …

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title: "Random Sampling" date: 2026-05-24T13:51:01Z Random Sampling 1import numpy as np 1np.version '1.11.2' 1__author__ = 'kyubyong. longinglove@nate.com' Simple random data Q1. Create an array of shape (3, 2) and populate it with random samples from a uniform distribution over [0, 1). 1np.random.rand(3, 2) 2# Or …

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title: "Alternative solution, in Python 3.5 and above" date: 2026-05-24T13:50:37Z 100 numpy exercises This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new …

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title: "100 numpy exercises" date: 2026-05-24T13:50:39Z 100 numpy exercises This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new users but also to provide a …

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title: "100 numpy exercises with hint" date: 2026-05-24T13:50:42Z 100 numpy exercises with hint This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new users …

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title: "Set routines" date: 2026-05-24T13:51:04Z Set routines 1import numpy as np 1np.version '1.11.2' 1author = 'kyubyong. longinglove@nate.com' Making proper sets Q1. Get unique elements and reconstruction indices from x. And reconstruct x. 1x = np.array([1, 2, 6, 4, 2, 3, 2]) unique elements = [1 2 3 4 6] …

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title: "Set routines" date: 2026-05-24T13:51:07Z Set routines 1import numpy as np 1np.version '1.11.2' 1author = 'kyubyong. longinglove@nate.com' Making proper sets Q1. Get unique elements and reconstruction indices from x. And reconstruct x. 1x = np.array([1, 2, 6, 4, 2, 3, 2]) 2out, indices = np.unique(x, …

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