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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

Encapsulating code with functions


Functions are useful for gathering similar pieces of code in one place. Consider the following mathematical function:

The Python equivalent is as follows:

def f(x):
    return 2*x + 1

In Figure 1.4 Anatomy of a function the  elements of a function block are explained. 

  • The keyword def   tells Python we are defining a function.
  • f is the name of the function.
  • x is the argument, or input of the function.
  • What is after return is called the output of the function.

Figure 1.4: Anatomy of a function

Once the function is defined, it can be called using the following code:

f(2) # 5
f(1) # 3
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Scientific Computing with Python 3
Published in: Dec 2016 Publisher: Packt ISBN-13: 9781786463517
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