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

Type checking


The direct way to see the type of a variable is to use the type command:

label = 'local error'
type(label) # returns str
x = [1, 2] # list
type(x) # returns list

However, if you want to test for a variable to be of a certain type, you should use isinstance (instead of comparing the types with type):

isinstance(x, list) # True

The reason for using isinstance becomes apparent after having read Chapter 8, Classes, and in particular the concept of subclassing and inheritance in section Subclassing and Inheritance in Chapter 8, Classes. In short, often different types share some common properties with some basic type. The classical example is the type bool, which is derived by subclassing from the more general type int. In this situation, we see how the command isinstance  can be used in a more general way:

test = True
isinstance(test, bool) # True
isinstance(test, int) # True
type(test) == int # False
type(test) == bool # True

So, in order to make sure...