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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
22
References

8.1.5 Special methods

The special method __repr__ gives us the ability to define the way the object is represented in a Python interpreter. For rational numbers, a possible definition of this method could be as follows:

class RationalNumber:
    ...
    def __repr__(self): 
return f'{self.numerator} / {self.denominator}'

With this method defined, just typing q returns 10 / 20.

We would like to have a method that performs the addition of two rational numbers. A first attempt could result in a method like this:

class RationalNumber:
    ...
    def add(self, other): 
p1, q1 = self.numerator, self.denominator
if isinstance(other, int):
p2, q2 = other, 1
else:
p2, q2 = other.numerator, other.denominator
return RationalNumber(p1 * q2 + p2 * q1, q1 * q2)

A call to this method takes the following form:

q = RationalNumber(1, 2)
p = RationalNumber(1, 3)
q.add(p)   # returns the RationalNumber for 5/6

It would be much...

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