miguel angel torres egea
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2026-06-18T01:22:30+00:00miguel angel torres egea
https://miguelangel.torresegea.es/wiki/
https://miguelangel.torresegea.es/wiki/_media/wiki:dokuwiki-128.pngtext/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/html2023-11-05T21:21:18+00:00Anonymous (anonymous@undisclosed.example.com)2.1 PEP 20 – The Zen of Python
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2.1 PEP 20 – The Zen of Python
The Zen of Python is a collection of 19 aphorisms, which reflect the philosophy behind Python, its guiding principles, and design.
Tim Peters, a long time major contributor to the Python programming language and Python community, wrote this 19-line poem on the Python mailing list in 1999, and it became entry #20 in the Python Enhancement Proposals in 2004.text/html2023-12-13T22:19:41+00:00Anonymous (anonymous@undisclosed.example.com)3.1 PEP 8 – Introduction
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3.1 PEP 8 – Introduction
As mentioned earlier, PEP 8 is a document that provides coding conventions (code style guide) for Python code.
PEP 8 is considered one of the most important PEPs and a must-read for every professional Python programmer, as it helps to make the code more consistent, more readable, and more efficient.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/html2024-01-08T19:15:28+00:00Anonymous (anonymous@undisclosed.example.com)1.1 Python Professional Course Series: RESTful APIs
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1.1 Python Professional Course Series: RESTful APIs
Some words about REST
The word you see below may look a little enigmatic: REST
Are we going to convince you to take a rest? Not at all. On the contrary, we want to encourage you to start the next part of our adventure - very demanding and completely new. We'll show you not Python itself, but a very specific kind of machinery (do not take this literally) which drives lots of contemporary computer systems, especially those which work on the In…text/html2023-12-19T10:02:28+00:00Anonymous (anonymous@undisclosed.example.com)4.1 PEP 257 – Docstring Conventions
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4.1 PEP 257 – Docstring Conventions
What is PEP 257?
PEP 257 is a document created as part of the Python Developer's Guide, which makes an attempt to standardize the high-level structure of docstrings. It outlines the conventions, best practices, and semantics (not laws or regulations!) associated with documenting Python code using docstrings. In short, it tries to answer the following two questions:text/html2023-12-22T11:49:30+00:00Anonymous (anonymous@undisclosed.example.com)1.2 Let TkInter speak!
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1.2 Let TkInter speak!
Importing TkInter
As you already know, from Python's point of view TkInter is a package named tkinter. The package contains a bunch of functions, constants, classes, objects, and modules used to build GUI applications.
The GUItext/html2024-01-19T10:37:03+00:00Anonymous (anonymous@undisclosed.example.com)1.6 Making life easier with the requests module
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1.6 Making life easier with the requests module
We have reached the point where we can start the final stage of our journey – we know enough to communicate with the web service using JSON as an information carrier. Unfortunately, our knowledge needs to be supplemented – we need atext/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/html2023-11-05T20:34:02+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.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/html2023-12-23T18:49:05+00:00Anonymous (anonymous@undisclosed.example.com)1.3 Settling widgets in the window's interior
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1.3 Settling widgets in the window's interior
Settling widgets
A familiarity with the Button widget allows us to show you some ways of putting the widgets (not only the buttons) inside windows. There are more of them than just place(), which you learned about in the previous section. To be precise, there aretext/html2023-12-28T11:29:30+00:00Anonymous (anonymous@undisclosed.example.com)1.6 Events and how to handle them
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1.6 Events and how to handle them
Event handling
As you already know, events are the fuel which propel the application’s movements. All events come to the event manager, which is responsible for dispatching them to all the application components. This also means that some of the events may launch some of your callbacks, which makes you responsible for preparing the proper reactions to the user’s actions.text/html2024-01-12T11:34:00+00:00Anonymous (anonymous@undisclosed.example.com)1.4 Talking to JSON in Python
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1.4 Talking to JSON in Python
Working with the JSON module in Python
Now that we're familiar with JSON essentials, it's time to learn how to use it with Python. We're a little worried you may think that we want you to laboriously build JSON messages, fretting over all these brackets, parentheses and colons, and to break down complex JSON lines into prime factors. Nothing could be further from the truth! We’re not in the habit of coming up with such crazy ideas, although, to be honest, it's not…text/html2024-01-18T18:05:25+00:00Anonymous (anonymous@undisclosed.example.com)1.5 What is XML and why do we prefer to use JSON?
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1.5 What is XML and why do we prefer to use JSON?
XML is a language. Anyway, this is what it thinks about itself. Note – it isn't a programming language, and although it is possible to build a real programming language on top of XML, it wasn't (and still isn't) its native niche.text/html2024-03-04T12:24:39+00:00Anonymous (anonymous@undisclosed.example.com)4.1 Logging in Python
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4.1 Logging in Python
Logging in Python
The Python Standard Library provides a useful module called logging to log events occurring in the application. Logs are most often used to find the cause of an error. By default, Python and its modules provide many logs informing you of the causes of errors. However, it's good practice to create your own logs that may be useful to you or other programmers.