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Scientific Computing with Python 3

You're reading from  Scientific Computing with Python 3

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786463517
Pages 332 pages
Edition 1st Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
1. Getting Started 2. Variables and Basic Types 3. Container Types 4. Linear Algebra – Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Error Handling 11. Namespaces, Scopes, and Modules 12. Input and Output 13. Testing 14. Comprehensive Examples 15. Symbolic Computations - SymPy References

Substitutions


Let us first consider a simple symbolic expression:

x, a = symbols('x a')
b = x + a

What happens if we set x = 0 ?  We observe that b did not change. What we did was that we changed the Python variable x. It now no longer refers to the symbol object but to the integer object 0. The symbol represented by the string 'x'  remains unaltered, and so does b.

Instead, altering an expression by replacing symbols by numbers, other symbols, or expressions is done by a special substitution method which can be seen in following code:

x, a = symbols('x a')
b = x + a
c = b.subs(x,0)   
d = c.subs(a,2*a)  
print(c, d)   # returns (a, 2a)

This method takes one or two arguments:

b.subs(x,0)
b.subs({x:0})  # a dictionary as argument

Dictionaries as arguments allow us to make several substitutions in one step:

b.subs({x:0, a:2*a})  # several substitutions in one

As items in dictionaries have no defined order - one never knows which would be the first - there is a need for...

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