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        <title>miguel angel torres egea</title>
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        <title>4.1 PEP 257 – Docstring Conventions</title>
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        <description>4.1 PEP 257 – Docstring Conventions

What is PEP 257?

PEP 257 is a document created as part of the Python Developer&#039;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:</description>
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        <dc:date>2024-03-05T08:09:50+00:00</dc:date>
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        <title>1.2 How to use sockets in Python</title>
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        <description>1.2 How to use sockets in Python

How to fetch a document from a server using Python

We are going to write our first program making use of network sockets. Of course, we&#039;ll harness Python for this purpose.

Here are our goals:

	*  we want to write</description>
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        <dc:date>2024-01-19T10:37:03+00:00</dc:date>
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        <title>1.6 Making life easier with the requests module</title>
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        <description>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 a</description>
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        <dc:date>2023-11-05T20:32:21+00:00</dc:date>
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        <title>2.1 Python core syntax</title>
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        <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:date>2023-11-05T21:21:18+00:00</dc:date>
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        <title>2.1 PEP 20 – The Zen of Python</title>
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        <description>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.</description>
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        <dc:date>2023-12-23T19:05:35+00:00</dc:date>
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        <title>1.4 Coloring your widgets</title>
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        <description>1.4 Coloring your widgets

Adding colors

Nearly everything you put inside your windows may be colored. Most widgets have dedicated properties to handle their colors and we will tell you about them while discussing the widgets themselves. Currently, the most important thing is getting to know how the colors are described in</description>
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        <dc:date>2023-12-28T12:06:07+00:00</dc:date>
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        <title>1.7 Visiting widgets’ properties</title>
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        <description>1.7 Visiting widgets’ properties

Widget properties

As you already know, every widget has a set of properties, and the widget’s user is able to change them by modifying the widget’s appearance and behavior. We’ll show you how to manipulate properties and present a basic set of the most usable widget properties.</description>
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        <dc:date>2024-03-04T12:54:48+00:00</dc:date>
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        <title>1.1 SQLite</title>
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        <description>1.1 SQLite

What is a database?

Nowadays, social applications such as Facebook, Twitter, and Instagram are very popular. Every day many people create new accounts, and existing users add or share different content. You’ve surely noticed that the data sent to those applications are still available after a few days, or even years. Do you know how that’s possible?</description>
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        <dc:date>2024-03-04T12:24:39+00:00</dc:date>
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        <title>4.1 Logging in Python</title>
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        <description>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&#039;s good practice to create your own logs that may be useful to you or other programmers.</description>
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