miguel angel torres egea
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2026-06-15T14:26:04+00:00miguel angel torres egea
https://miguelangel.torresegea.es/wiki/
https://miguelangel.torresegea.es/wiki/_media/wiki:dokuwiki-128.pngtext/html2023-11-05T20:32:53+00:00Anonymous (anonymous@undisclosed.example.com)2.3 Extended function argument syntax
https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.3?rev=1699216373&do=diff
2.3 Extended function argument syntax
When we talk about function arguments, we should recall the following facts:
* some functions can be invoked without arguments;
* functions may require a specific number of arguments with no exclusions; we have to pass a required number of arguments in an imposed order to follow function definition;text/html2023-11-05T20:33:26+00:00Anonymous (anonymous@undisclosed.example.com)2.5 Different faces of Python methods
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2.5 Different faces of Python methods
Until now, we’ve been implementing methods that have performed operations on the instances (objects), and in particular the attributes of the instance, so we’ve called them instance methods.
The instance methods, as the first parameter, take thetext/html2023-11-05T20:33:07+00:00Anonymous (anonymous@undisclosed.example.com)2.4 Decorators
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2.4 Decorators
A decorator is one of the design patterns that describes the structure of related objects. Python is able to decorate functions, methods, and classes.
The decorator's operation is based on wrapping the original function with a new «text/html2023-11-05T20:34:13+00:00Anonymous (anonymous@undisclosed.example.com)2.9 Inheriting properties from built-in classes
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2.9 Inheriting properties from built-in classes
Python gives you the ability to create a class that inherits properties from any Python built-in class in order to get a new class that can enrich the parent's attributes or methods. As a result, your newly-created class has the advantage of all of the well-known functionalities inherited from its parent or even parents and you can still access those attributes and methods.text/html2023-11-05T20:31:42+00:00Anonymous (anonymous@undisclosed.example.com)1.1 Classes, Instances, Attributes, Methods — introduction
https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:1.1?rev=1699216302&do=diff
1.1 Classes, Instances, Attributes, Methods — introduction
Introduction to Object-Oriented Programming
This module addresses the advanced Object Oriented Programming (OOP) issues that are at the heart of Python programming.
The object-oriented approach is an evolution of good design practices that go back to the very beginning of computer programming.text/html2023-11-05T20:32:04+00:00Anonymous (anonymous@undisclosed.example.com)1.2 Working with class and instance data – instance variables
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1.2 Working with class and instance data – instance variables
Instance variables
This kind of variable exists when and only when it is explicitly created and added to an object. This can be done during the object's initialization, performed by thetext/html2023-11-05T20:32:21+00:00Anonymous (anonymous@undisclosed.example.com)2.1 Python core syntax
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2.1 Python core syntax
So far we have been using Python core operations that allow us to operate on strings, lists, integers, and floats. It’s natural for us to formulate expressions using algebraic symbols representing operators, or to get a number of elements in a sequence or dictionary.text/html2023-11-05T20:35:05+00:00Anonymous (anonymous@undisclosed.example.com)4.3 Making Python objects persistent using the shelve module
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4.3 Making Python objects persistent using the shelve module
Serialization of Python objects using the shelve module
As you remember, the pickle module is used for serializing objects as a single byte stream. Both serializing and deserializing parties must abide by the order of all the elements placed into a file or database, or sent via a network.