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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

8.9 Exercises

  1. Write a method simplify to the class RationalNumber. This method should return the simplified version of the fraction as a tuple.
  2. To provide results with confidence intervals, a special calculus, so-called interval arithmetic, is introduced in numerical mathematics. Define a class called Interval and provide it with methods for addition, subtraction, division, multiplication, and power (with positive integers only). These operations obey the following rules:
  

Provide this class with methods that allow operations of the type a + I, a I, I + a, I a, where I is an interval and a is an integer or float. Convert an integer or float into an interval [a,a] first. (Hint: you may want to use function decorators for this; see Section 7.8: Function as decorators.) Furthermore, implement the method __contains__, which enables you to check whether a given number belongs to the interval using the syntax x in I for an object I of type Interval. Test your class by applying...

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