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

Dictionaries


Lists, tuples, and arrays are ordered sets of objects. The individual objects are inserted, accessed, and processed according to their place in the list. On the other hand, dictionaries are unordered sets of pairs. One accesses dictionary data by keys.

Creating and altering dictionaries

For example, we may create a dictionary containing the data of a rigid body in mechanics, as follows:

truck_wheel = {'name':'wheel','mass':5.7,
               'Ix':20.0,'Iy':1.,'Iz':17.,
               'center of mass':[0.,0.,0.]}

A key/data pair is indicated by a colon, :. These pairs are comma separated and listed inside a pair of curly brackets, {}.

Individual elements are accessed by their keys:

truck_wheel['name']   # returns 'wheel'
truck_wheel['mass']   # returns 5.7

New objects are added to the dictionary by creating a new key:

truck_wheel['Ixy'] = 0.0

Dictionaries are also used to provide parameters to a function (refer to section Parameters and arguments in Chapter 7, Functions...