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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
Author Profile Icon Claus Fuhrer
Claus Fuhrer
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Toc

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

General mechanism

We have seen how to add a function and a scalar and how to build a function of two variables from two functions of one variable. Let's now focus on the general mechanism that makes this possible. The general mechanism consists of two steps: reshaping and extending.

First, the function  is reshaped to the function , which takes two arguments. One of these arguments is a dummy argument, which we take to be zero, as a convention:

Mathematically, the domain of the definition of is now  Then the function  is reshaped in a way similar to:

Now both and  take two arguments, although one of them is always zero. We proceed to the next step, extending. It is the same step that converted a constant into a constant function.

The function  is extended to:

 

The function  is extended to:

Now the function of two variables, , which was sloppily defined by , may be defined without reference to its arguments:

For...

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