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Scientific Computing with Python

Scientific Computing with Python

By : Führer, Claus Fuhrer, Solem, Verdier
4.5 (15)
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Scientific Computing with Python

Scientific Computing with Python

4.5 (15)
By: Führer, Claus Fuhrer, Solem, Verdier

Overview of this book

Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Table of Contents (23 chapters)
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About Packt
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References

8.1.3 The __init__ method

Now we provide our example class with some attributes, that is, we give it defining data. In our case, this data will be the values of the denominator and the numerator. To this end, we have to define a method, __init__, used to initialize the class with these values:

class RationalNumber:
    def __init__(self, numerator, denominator):
        self.numerator = numerator
        self.denominator = denominator

Before we explain the special function __init__, which we added to the class, we demonstrate the instantiation of a RationalNumber object:

q = RationalNumber(10, 20)    # Defines a new object
q.numerator                   # returns 10
q.denominator                 # returns 20

A new object of type RationalNumber is created by using the class name as if it were a function. This statement does two things:

  1. It first creates an empty object, q.
  2. Then it applies the __init__ function to it; that is, q.__init__(10, 20) is executed.

The first parameter of __init__...

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