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

Exercises


Ex. 1 → Consider a 4 × 3 matrix M:

  1. Construct this matrix in Python using the function array .
  2. Construct the same matrix using the function arange  followed by a suitable reshape.
  3. What is the result of the expression M[2,:] ? What is the result of the similar expression M[2:]?

Ex. 2 → Given a vector x, construct in Python the following matrix:

                 

Here, xi are the components of the vector x (numbered from zero). Given a vector y, solve in Python the linear equation system Va = y. Let the components of a be denoted by ai, i = 0, ..., 5. Write a function poly, which has a and z as input and which computes the polynomial:

Plot this polynomial and depict in the same plot the points (xi , yi ) as small stars. Try your code with the vectors:

  • x = (0.0, 0.5, 1.o, 1.5, 2.0, 2.5)
  • y = (-2.0, 0.5, -2.0, 1.0, -0.5, 1.0)

Ex. 3 → The matrix V in Ex. 2 is called a Vandermonde matrix. It can be set up in Python directly by the command vander. Evaluating a polynomial defined by a coefficient...