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Scientific Computing with Python 3

You're reading from  Scientific Computing with Python 3

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786463517
Pages 332 pages
Edition 1st Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
1. Getting Started 2. Variables and Basic Types 3. Container Types 4. Linear Algebra – Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Error Handling 11. Namespaces, Scopes, and Modules 12. Input and Output 13. Testing 14. Comprehensive Examples 15. Symbolic Computations - SymPy References

Introduction to classes


We will illustrate the concept of classes with an example of rational numbers, that is, numbers of the form q= qN ⁄ qD, where qN and qD are integers.

Figure 8.1: An example of a class declaration

We use rational numbers here only as an example for the class concept. For future work in Python with rational numbers use the fractions module (refer to [6]).

Class syntax

The definition of a class is made by a block command with the class keyword, the name of the class, and some statements in the block (refer to Figure 8.1):

class RationalNumber: 
      pass

An instance of this class (or in other words, an object of the type RationalNumber) is created by

r = RationalNumber()

and a query type(a) returns the answer,  <class'__main__.RationalNumber'>. If we want to investigate whether an object is an instance of this class, we can use this:

if isinstance(a, RationalNumber):
    print('Indeed it belongs to the class RationalNumber')  

So far we've generated an object...

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