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- 4.1 PEP 257 – Docstring Conventions @info:cursos:pue:python-pcpp1:m2
- on 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 w... s** that are used in the class, module, function, and method definition in order to provide information... They help programmers (including you) to remember and understand the purpose, operation, and capabiliti
- 2.1 PEP 20 – The Zen of Python @info:cursos:pue:python-pcpp1:m2
- 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 Pro... or window, type in ''import this'', run the code, and voilà! Can you see what happens? What you see is
- 3.1 PEP 8 – Introduction @info:cursos:pue:python-pcpp1:m2
- EP 8 is considered one of the most important PEPs and a must-read for every professional Python program... to make the code more consistent, more readable, and more efficient. Even though some programming pro... mended reading, as they help you to better understand the philosophy behind Python and become a more aware and proficient programmer. PEP 8 is still evolvi
- 1.7 Four magic letters: CRUD @info:cursos:pue:python-pcpp1:m4
- int in which we are ready to gather all new facts and tools and glue all these pieces into one functional block. You already know how HTTP works, how it’ is mounted on top of the TCP stack and how the HTTP server is able to do much more for us than just store and publish fancy images and funny videos. In fact,
- 2.3 A small lexicon of widgets - Part 3 @info:cursos:pue:python-pcpp1:m3
- password, email, etc. The widget implements all standard edit operations like inserting, removing, scrolling, selecting, copying and pasting, etc.. We’ll show you only the basic pos... its entire flexibility when we just want to enter and validate a line of text. Here are some of ''Entr... pue:python-pcpp1:m3:pasted:20231228-112558.png}} And now, some of ''Entry''’s methods: {{:info:cursos:
- 1.5 What is XML and why do we prefer to use JSON? @info:cursos:pue:python-pcpp1:m4
- = 1.5 What is XML and why do we prefer to use JSON? **XML** is a **language**. Anyway, this is what it ... t 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. XML is – like JSON – a **universal and transparent carrier** of any type of data. You ca
- 1.6 Making life easier with the requests module @info:cursos:pue:python-pcpp1:m4
- all these serv..., we weren't able to avoid them) and we also need a tool simpler than the ''socket'' m... It does, but it’s **too good**. It's too choosy and too powerful. It exposes lots of details which ar... socket module is perfect when you want to understand network issues at the TCP level and to learn which challenges the OS faces when it tries to establish,
- Python Professional Course Series: GUI Programming @info:cursos:pue:python-pcpp1:m3
- these things have a screen, most of them colored and many (more and more every year) use it to display a GUI and to communicate with the user. They communicate bidirectionally. GUI stands for Graphical User Interface. In this three-word
- 2.2 Inheritance and polymorphism — Inheritance as a pillar of OOP @info:cursos:pue:python-pcpp1:m1
- = 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 creat... class hierarchy inherits all the traits (methods and attributes) defined inside any of the superclasse
- 4.1 Shallow and deep copy operations @info:cursos:pue:python-pcpp1:m1
- = 4.1 Shallow and deep copy operations == Copying objects using shallow and deep operations In this module, you’ll learn how ... bel vs. identity vs. value; * the id() function and the is operand; * shallow and deep copies of the objects. It’s hard to imagine writing a piece of P
- 4.1 Logging in Python @info:cursos:pue:python-pcpp1:m5
- gging in Python == Logging in Python The Python Standard Library provides a useful module called ''logg... to find the cause of an error. By default, Python and its modules provide many logs informing you of th... g the logging module. See what this module offers and start using it to become a better programmer. ==... ation may have several loggers created both by us and by programmers of the modules. If your applicatio
- 1.6 Events and how to handle them @info:cursos:pue:python-pcpp1:m3
- = 1.6 Events and how to handle them == Event handling As you already know, events are the fuel which propel the application’s movem... ime to show you some details of the events’ lives and anatomy. We’ll also show you how the events are a
- 2.4 Decorators @info:cursos:pue:python-pcpp1:m1
- s. Python is able to decorate functions, methods, and classes. The decorator's operation is based on w... can take the parameters of the decorated function and perform additional actions and that make it a real decorating function. The same principle is applied... Decorators are used to perform operations before and after a call to a wrapped object or even to preve
- 2.5 Different faces of Python methods @info:cursos:pue:python-pcpp1:m1
- performed operations on the instances (objects), and in particular the attributes of the instance, so ... , which is their hallmark. It’s worth emphasizing and remembering that ''self'' allows you to refer to ... copy of the instance variable ''%%__internal%%'', and the ''get_internal()'' method allows you to read ... of the parameter ''self'' was chosen arbitrarily and you can use a different word, but you must do it
- 2.9 Inheriting properties from built-in classes @info:cursos:pue:python-pcpp1:m1
- alities inherited from its parent or even parents and you can still access those attributes and methods. Later, you can override the methods by delivering ... s will be based on the Python list implementation and will also validate the type of elements that are ... pecific type (integers in the ticketing example), and control over the types of elements is given to th