Aplicações de programação orientada a objetos

Você quer criar um simulador de pet shop online com muitos tipos diferentes de pets. Você também vai armazenar informações sensíveis dos usuários, incluindo dados pessoais e possivelmente informações de pagamento.

Essa seria uma boa aplicação para programação orientada a objetos? Se não, por quê?

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Conceitos de Paradigmas de Programação

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Conceitos de Paradigmas de Programação

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Get ready for a first look at programming paradigms! This Chapter covers what programming paradigms are, why they matter, and two broad categories of programming paradigms, namely Imperative and Declarative programming. You will also learn about the benefits of writing modular code and employing separation of responsibilities and how these relate to different paradigms.

Exercise 1: What are Programming Paradigms?Exercise 2: Understanding programming paradigms and languages Exercise 3: Programming languages vs. programming paradigms Exercise 4: Imperative and Declarative Programming Paradigms Exercise 5: Understanding categories of programming paradigms Exercise 6: Comparing programming categories Exercise 7: Why do we need Programming Paradigms?Exercise 8: Benefits of modular code Exercise 9: Benefits of thinking in multiple paradigms Exercise 10: Identifying modular code in Python

Dive into one of the most commonly used paradigms in programming: Procedural Programming. This Chapter covers what procedural programming is, what problems it can be used to solve, and how it achieves separation of responsibilities and modular code. You will learn how control flow statements like `if` statements, `for` loops, and function definition can all be used in procedural programming, and you'll get to practice these in Python.

Exercise 1: What is procedural programming?Exercise 2: Separation of responsibilities Exercise 3: Recognizing procedures Exercise 4: When is procedural programming used?Exercise 5: Pros and cons of procedural programming Exercise 6: Use cases for procedural programming Exercise 7: Control flow in procedural programming Exercise 8: Understanding control flow Exercise 9: Combine elements of control flow Exercise 10: Construct a basic procedural program

Dive into functional programming in this Chapter. We will cover the basics of functional programming: when to use it, some advantages and disadvantages, as well as some applications. You will also learn about using recursion in functional programming, and you will even implement some basic functional programs of your own!

Exercise 1: What is functional programming?Exercise 2: Functional programming and modularity Exercise 3: Pure functions and side effects Exercise 4: When is functional programming used?Exercise 5: Pros and cons of functional programming Exercise 6: Applications of functional programming Exercise 7: Functional programming in action Exercise 8: Write a pure function Exercise 9: Correct an "impure" function Exercise 10: Recursion in Functional Programming Exercise 11: Understanding recursive functions Exercise 12: Building a recursive function

Let's play with some classes and objects! This chapter will cover the Object-Oriented Programming paradigm, its common applications, pros and cons, and how to implement basic object-oriented programs in Python. We'll also touch on some more advanced topics in this paradigm including class inheritance and public vs. private attributes.

Exercise 1: O que é Programação Orientada a Objetos Exercise 2: Identificando programas orientados a objetos em Python Exercise 3: Classes vs. objetos Exercise 4: Crie uma classe Exercise 5: Exemplos de Programação Orientada a Objetos Exercise 6: Aplicações de programação orientada a objetos

Exercicio Atual

Exercise 7: Prós e contras da programação orientada a objetos Exercise 8: Atributos públicos vs. privados Exercise 9: Herança de classes em programas orientados a objetos Exercise 10: Crie uma classe com herança Exercise 11: Mudando de paradigma de programação Exercise 12: Classificar paradigmas de programação Exercise 13: Parabéns!