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"Data analysis using Python" NumPy basics: Arrays and vector Computing learning notes

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I. Related NumPy

(i) Official explanations

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

    • A powerful N-dimensional Array object
    • Sophisticated (broadcasting) functions
    • Tools for integrating C + + and Fortran code
    • Useful linear algebra, Fourier transform, and random number capabilities

Besides its obvious scientific uses, NumPy can also is used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

(ii) Book Introduction

NumPy (numerical Python) is the foundation package for high-performance scientific computing and data analysis .

Two NumPy Ndarray: A multidimensional Array object

Book P83 Related supplements:

Shape: Indicates the size of each dimension

Dtype: Used to describe the array data type

"Data analysis using Python" NumPy basics: Arrays and vector Computing learning notes

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