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        <title>miguel angel torres egea</title>
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        <dc:date>2023-11-05T20:34:25+00:00</dc:date>
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        <title>3.1 Advanced techniques of creating and serving exceptions</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:3.1?rev=1699216465&amp;do=diff</link>
        <description>3.1 Advanced techniques of creating and serving exceptions

In this module, we&#039;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&#039;s instructions.</description>
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        <dc:date>2023-11-05T20:33:07+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.4 Decorators</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.4?rev=1699216387&amp;do=diff</link>
        <description>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&#039;s operation is based on wrapping the original function with a new «</description>
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        <dc:date>2023-11-05T20:34:35+00:00</dc:date>
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        <title>4.1 Shallow and deep copy operations</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:4.1?rev=1699216475&amp;do=diff</link>
        <description>4.1 Shallow and deep copy operations

Copying objects using shallow and deep operations

In this module, you’ll learn how to copy Python objects. Specifically, you&#039;ll learn about:

	*  object: label vs. identity vs. value;
	*  the id() function and the is operand;</description>
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        <dc:date>2023-11-06T09:03:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>5.1 Metaprogramming</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:5.1?rev=1699261386&amp;do=diff</link>
        <description>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.</description>
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        <dc:date>2023-11-05T20:34:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>4.2 Serialization of Python objects using the pickle module</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:4.2?rev=1699216496&amp;do=diff</link>
        <description>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 &#039;pickled&#039; adjective.</description>
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        <dc:date>2023-11-05T20:32:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.2 Inheritance and polymorphism — Inheritance as a pillar of OOP</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.2?rev=1699216358&amp;do=diff</link>
        <description>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.</description>
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        <dc:date>2023-11-05T20:34:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.9 Inheriting properties from built-in classes</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.9?rev=1699216453&amp;do=diff</link>
        <description>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&#039;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.</description>
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        <dc:date>2023-11-05T20:32:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>1.2 Working with class and instance data – instance variables</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:1.2?rev=1699216324&amp;do=diff</link>
        <description>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&#039;s initialization, performed by the</description>
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        <dc:date>2023-11-05T20:33:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.5 Different faces of Python methods</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.5?rev=1699216406&amp;do=diff</link>
        <description>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 the</description>
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        <dc:date>2023-11-05T20:32:53+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.3 Extended function argument syntax</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.3?rev=1699216373&amp;do=diff</link>
        <description>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;</description>
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        <dc:date>2023-11-05T20:33:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.6 Abstract classes</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.6?rev=1699216418&amp;do=diff</link>
        <description>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.</description>
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        <dc:date>2023-11-05T20:32:21+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.1 Python core syntax</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.1?rev=1699216341&amp;do=diff</link>
        <description>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.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-11-05T20:31:42+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>1.1 Classes, Instances, Attributes, Methods — introduction</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:1.1?rev=1699216302&amp;do=diff</link>
        <description>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.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-11-05T20:33:49+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.7 Encapsulation</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.7?rev=1699216429&amp;do=diff</link>
        <description>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.</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-11-05T20:34:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2.8 Composition vs Inheritance - two ways to the same destination</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:2.8?rev=1699216442&amp;do=diff</link>
        <description>2.8 Composition vs Inheritance - two ways to the same destination

So far we&#039;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.</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-11-05T20:35:05+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>4.3 Making Python objects persistent using the shelve module</title>
        <link>https://miguelangel.torresegea.es/wiki/info:cursos:pue:python-pcpp1:m1:4.3?rev=1699216505&amp;do=diff</link>
        <description>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.</description>
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