miguel angel torres egea
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2026-06-24T05:26:14+00:00miguel angel torres egea
https://miguelangel.torresegea.es/wiki/
https://miguelangel.torresegea.es/wiki/_media/wiki:dokuwiki-128.pngtext/html2023-11-06T09:03:06+00:00Anonymous (anonymous@undisclosed.example.com)5.1 Metaprogramming
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5.1 Metaprogramming
Introduction to metaclasses
Metaprogramming is a programming technique in which computer programs have the ability to modify their own or other programs’ codes. It may sound like an idea from a science fiction story, but the idea was born and implemented in the early 1960s.text/html2023-11-05T20:33:49+00:00Anonymous (anonymous@undisclosed.example.com)2.7 Encapsulation
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2.7 Encapsulation
Attribute encapsulation
Encapsulation is one of the fundamental concepts in object-oriented programming (amongst inheritance, polymorphism, and abstraction). It describes the idea of bundling attributes and methods that work on those attributes within a class.text/html2023-11-05T20:32:38+00:00Anonymous (anonymous@undisclosed.example.com)2.2 Inheritance and polymorphism — Inheritance as a pillar of OOP
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2.2 Inheritance and polymorphism — Inheritance as a pillar of OOP
Inheritance is one of the fundamental concepts of object oriented programming, and expresses the fundamental relationships between classes: superclasses (parents) and their subclasses (descendants). Inheritance creates a class hierarchy. Any object bound to a specific level of class hierarchy inherits all the traits (methods and attributes) defined inside any of the superclasses.text/html2023-11-05T20:31:42+00:00Anonymous (anonymous@undisclosed.example.com)1.1 Classes, Instances, Attributes, Methods — introduction
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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/html2023-11-05T20:33:38+00:00Anonymous (anonymous@undisclosed.example.com)2.6 Abstract classes
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2.6 Abstract classes
Python is considered to be a very flexible programming language, but that doesn’t mean that there are no controls to impose a set of functionalities or an order in a class hierarchy. When you develop a system in a group of programmers, it would be useful to have some means of establishing requirements for classes in matters of interfaces (methods) exposed by each class.text/html2023-11-05T20:34:56+00:00Anonymous (anonymous@undisclosed.example.com)4.2 Serialization of Python objects using the pickle module
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4.2 Serialization of Python objects using the pickle module
In this section, you will learn how to persist Python objects for later use.
Pickling is the process of preserving or extending the lifespan of food. The resulting food is called a pickle, and to prevent ambiguity, prefaced with the 'pickled' adjective.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/html2023-11-05T20:33:26+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/html2023-11-05T20:34:25+00:00Anonymous (anonymous@undisclosed.example.com)3.1 Advanced techniques of creating and serving exceptions
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3.1 Advanced techniques of creating and serving exceptions
In this module, we'll talk about Python exceptions – objects that represent errors which occur during the execution of a program that disrupts the normal flow of the program's instructions.text/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/html2023-11-05T20:32:53+00:00Anonymous (anonymous@undisclosed.example.com)2.3 Extended function argument syntax
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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/html2023-11-05T20:33:07+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/html2023-11-05T20:34:02+00:00Anonymous (anonymous@undisclosed.example.com)2.8 Composition vs Inheritance - two ways to the same destination
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2.8 Composition vs Inheritance - two ways to the same destination
So far we've been using and following the inheritance concept when modeling our classes to represent real-life issues. Inheritance is a great concept, one of the most important foundations of object-oriented programming that models a tight relation between two classes: the base class and the derived class, called a subclass.