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Numpy

Programming

For Beginners

Quick Start Guide

Ray Yao

Copyright 2015 by Ray Yaos Team

All Rights Reserved

Neither part of this book nor whole of this book may be reproduced or transmitted in any form or by any means electronic , photographic or mechanical , including photocopying , recording , or by any information storage or retrieval system , without prior written permission from the author . All rights reserved !

Ray Yaos Team

About the Author: Ray Yaos Team

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Preface

Numpy Programming & Exercises covers all essential Numpy knowledge . You can learn complete primary skills of Numpy fast and easily . The book includes many practical examples for beginners and includes questions and answers for the college exam , the engineer certification exam , and the job interview exam .

Prerequisite to learn Numpy

Before learning the Numpy , you should have basic knowledge of Python and the array, because Numpy works with Python and arrays .

Table of Contents

Hour 1

What is NumPy?

NumPy (Numerical Python) is an open source extension of Python Numerical computation . This tool can be used to store and process large matrices . It is much more efficient than Python's own nested list structure . It supports multiple dimensional array and matrix operations . In addition, it also provides a large number of mathematical libraries for array operations . NumPy is used for working with arrays .

NumPy's predecessor, Numeric was originally developed by Jim Hugunin and other collaborators . In 2005, they developed successfully NumPy in Numeric by combining the features of another generic library, Numarray, and adding other extensions . At last, NumPy forms a kind of open source code and is maintained and developed by many collaborators together .

Python itself has lists and arrays, but for large data processing, its structures have a number of drawbacks . Python does not support the multiple dimensional arrays and matrixes very well, therefore NumPy fills these gaps, it provides two basic objects : Ndarray and Ufunc, which are suitable for numeric calculation of such kind of data . In short, NumPy is a Python library .

What is NumPy for?

NumPy can help you study:

1 . Data science or machine learning

2 . Linear algebraic integral interpolation, special functions .

3 . Signal processing and image processing .

4 . Scientific and Engineering Computing

5 . Ordinary differential equation

6 . Provide an application program interface (API)

Prerequisite to learn NumPy

Before you learn NumPy programming, you must have the knowledge of the Python language .

Install NumPy

1 . Before installing NumPy, you need to install the latest version Python to your local computer . The Python download link is :

https : //www . python . org/

2 . Having downloaded the Python installer, you can install Python .

3 . After installing Python, please restart your computer .

4 . Test the Python . Please click :

Window System > Command Prompt > Input the following command :

C : \User\YourName>python

5 . If you can see the Python version, it means that Pathon have installed successfully .

6 . The command to install NumPy is :

C : \User\YourName>pip install numpy

7 . Please click :

Window System > Command Prompt > Input the following command :

C : \User\YourName>pip install numpy

8 . After install NumPy, you can see :

9 . Congratulation ! NumPy has installed successfully !

Set Up Python Editor

We need to set up Python first so that it can work as a NumPy editor .

1 . Please click :

Python3 . 9 > IDLE (Python 3 . 9 64-bit) > open the Python editor .

2 . Please click :

Options > Configure IDLE > Gengeral > Open Edit Window > OK .

3 . Restart the Python/NumPy Editor .

Congratulation ! You can easily edit your NumPy program by using this editor from now on .

Import NumPy Library

Before we run the NumPy program, we need to import NumPy library .

import numpy

Example 1.1

import numpy myArr = numpy . array([0, 1, 2, 3, 4, 5]) print(myArr)

Output:

[0 1 2 3 4 5]

Explanation:

import numpy is a NumPy command, which is used to import NumPy library into the current program first .

Alias of NumPy Library

We usually use np as the alias of the NumPy library .

The syntax to define a np is as follows :

import numpy as np

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