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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

Basics


In mathematics, a function is written as a map that uniquely assigns an element y from the range R to every element x from the domain D.

This is expressed by f : D → R

Alternatively, when considering particular elements x and y, one writes f : x → y

Here, f is called the name of the function and f(x) is its value when applied to x. Here, x is sometimes called the argument of f. Let's first look at an example before considering functions in Python.

For example, D = ℝ x ℝ  and y = f(x1, x2) = x1 - x2 . This function maps two real numbers to their difference.

In mathematics, functions can have numbers, vectors, matrices, and even other functions as arguments. Here is an example of a function with mixed arguments: 

.

In this case, a number is returned. When working with functions, we have to distinguish between two different steps:

  • The definition of the function
  • The evaluation of the function, that is, the computation of f(x) for a given value of x

The first step is done once, while the second...

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