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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
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Olivier Verdier
Jan Erik Solem Jan Erik Solem
Author Profile Icon Jan Erik Solem
Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References

16.4 Substitutions

Let's 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 with numbers, other symbols, or expressions is done by a special substitution method, which can be seen in the 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. The following two statements are equivalent:

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...
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