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

Encapsulating code with functions


Functions are useful for gathering similar pieces of code in one place. Consider the following mathematical function:

The Python equivalent is as follows:

def f(x):
    return 2*x + 1

In Figure 1.4 Anatomy of a function the  elements of a function block are explained. 

  • The keyword def   tells Python we are defining a function.
  • f is the name of the function.
  • x is the argument, or input of the function.
  • What is after return is called the output of the function.

Figure 1.4: Anatomy of a function

Once the function is defined, it can be called using the following code:

f(2) # 5
f(1) # 3