Book Image

Scientific Computing with Python 3

By : Claus Führer, Jan Erik Solem, Olivier Verdier
Book Image

Scientific Computing with Python 3

By: Claus Führer, Jan Erik Solem, Olivier Verdier

Overview of this book

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
Table of Contents (23 chapters)
Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
References

Class attributes


Attributes specified in the class declaration are called class attributes. Consider the following example:

class Newton:
    tol = 1e-8 # this is a class attribute
    def __init__(self,f):
        self.f = f # this is not a class attribute
    ....

Class attributes are useful for simulating default values and can be used if values have to be reset:

N1 = Newton(f)
N2 = Newton(g)

Both instances have an attribute, tol, with the value initialized in the class definition:

N1.tol # 1e-8
N2.tol # 1e-8

Altering the class attribute automatically affects all the corresponding attributes of all instances:

Newton.tol = 1e-10
N1.tol # 1e-10
N2.tol # 1e-10

Altering tol for one instance does not affect the other instance:

N2.tol = 1.e-4
N1.tol  # still 1.e-10

But now N2.tol is detached from the class attribute. Changing Newton.tol no longer has any effect on N2.tol:

Newton.tol = 1e-5 # now all instances of the Newton classes have 1e-5
N1.tol # 1...