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

The for statement


The primary aim of the for statement is to traverse a list:

for s in ['a', 'b', 'c']:
    print(s), # a b c

In this example, the loop variable s is successively assigned to one element of the list. Notice that the loop variable is available after the loop has terminated. This may sometimes be useful; refer, for instance, the example in section Controlling the flow inside the loop.

One of the most frequent uses of a for loop is to repeat a given task a defined number of times, using the function range  (refer to section Lists of Chapter 1, Getting Started).

for iteration in range(n): # repeat the following code n times
    ...

If the purpose of a loop is to go through a list, many languages (including Python) offer the following pattern:

for k in range(...):
    ...
    element = my_list[k]

If the purpose of that code were to go through the list my_list, the preceding code would not make it very clear. For this reason, a better way to express this is as follows...