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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

8.3 Bound and unbound methods

We will now take a closer look at attributes that are methods. Let's consider an example:

class A:
    def func(self,arg):
        pass

A little inspection shows us how the nature of func changes after creating an instance:

A.func  # <unbound method A.func>
instA = A()  # we create an instance
instA.func  #  <bound method A.func of ... >

Calling, for example, A.func(3) would result in an error message such as this:

TypeError: func() missing 1 required positional argument: 'arg'

instA.func(3) is executed as expected. Upon creation of an instance, the method func is bound to the instance. The argument self gets the instance assigned as its value. Binding a method to an instance makes the method applicable as a function. Before that, it is of no use. Class methods, which we will consider in Section 8.4.2: Class methods, are different in this aspect.

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