Book Image

Scientific Computing with Python 3

By : Claus Führer, Jan Erik Solem, Olivier Verdier
Book Image

Scientific Computing with Python 3

By: Claus Führer, Jan Erik Solem, Olivier Verdier

Overview of this book

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
Table of Contents (23 chapters)
Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
References

Return values


A function in Python always returns a single object. If a function has to return more than one object, these are packed and returned as a single tuple object.

For instance, the following function takes a complex number z and returns its polar coordinate representation as magnitude r and angle  according to Euler’s formula:

And the Python counterpart would be this:

def complex_to_polar(z):
    r = sqrt(z.real ** 2 + z.imag ** 2)
    phi = arctan2(z.imag, z.real)
    return (r,phi)  # here the return object is formed

Here, we used the sqrt(x) NumPy function for the square root of a number x and arctan2(x,y) for the expression tan-1(x/y).

Let us try our function:

z = 3 + 5j  # here we define a complex number
a = complex_to_polar(z)
r = a[0]
phi = a[1]

The last three statements can be written more elegantly in a single line:

r,phi = complex_to_polar(z)

We can test our function by calling polar_to_comp; refer to Exercise 1.

If a function has no return statement...