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Scientific Computing with Python 3

You're reading from  Scientific Computing with Python 3

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786463517
Pages 332 pages
Edition 1st Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
1. Getting Started 2. Variables and Basic Types 3. Container Types 4. Linear Algebra – Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Error Handling 11. Namespaces, Scopes, and Modules 12. Input and Output 13. Testing 14. Comprehensive Examples 15. Symbolic Computations - SymPy References

Exercises


Ex. 1 → Write a method simplify to the class RationalNumber. This method should return the simplified version of the fraction as a tuple.

Ex. 2 → To provide results with confidence intervals a special calculus, so-called interval arithmetic is introduced in numerical mathematics; (refer to [3, 14]). 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 an integer or float. Convert an integer or float to an interval [a,a] first. (Hint: you may want to use function decorators for this; (refer to section Function as decorators in Chapter 7, Functions). Furthermore, implement the __contains__ method, which enables you to check if a given number belongs to the interval using the syntax x in I for an object I of type Interval...

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