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

Controlling the flow inside the loop


Sometimes it is necessary to jump out of the loop, or to go directly to the next loop iteration. These two operations are performed by the break and continue commands.  The break keyword, as the name indicates, breaks the loop. Two situations can occur where the loop breaks:

  • The loop is completely executed.
  • The loop is left before it was completely executed (break).

For the first case, special actions can be defined in an else block, which is executed if the whole list is traversed. This is useful in general if the purpose of the for loop is to find something and stop. Examples might be searching for one element satisfying a certain property inside a list. If such an element is not found, the else block is executed.

Here is a common usage in scientific computing. Quite often, we use an iterating algorithm that is not guaranteed to succeed. In that case, it is preferable to use a (big) finite loop so that the program does not get caught in an infinite loop...