Funções puras e efeitos colaterais

Um colega seu está aprendendo sobre programação funcional para usar em uma tarefa de processamento de dados. Ele está com dificuldade para entender o conceito de "função pura" e gostaria da sua ajuda para determinar quais dos processos da lista dele contam como "funções puras" e quais têm efeitos colaterais.

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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: O que é programação funcional?Exercise 2: Programação funcional e modularidade Exercise 3: Funções puras e efeitos colaterais

Exercicio Atual

Exercise 4: Quando a programação funcional é usada?Exercise 5: Prós e contras da programação funcional Exercise 6: Aplicações da programação funcional Exercise 7: Programação funcional na prática Exercise 8: Escreva uma função pura Exercise 9: Corrigir uma função "impura"Exercise 10: Recursão na Programação Funcional Exercise 11: Entendendo funções recursivas Exercise 12: Construindo uma função recursiva

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: What is Object-Oriented Programming Exercise 2: Identifying object-oriented programs in Python Exercise 3: Classes vs. objects Exercise 4: Build a class Exercise 5: Examples of Object-Oriented Programming Exercise 6: Applications of object-oriented programming Exercise 7: Pros and cons of object-oriented programming Exercise 8: Public vs. private attributes Exercise 9: Class Inheritance in Object-Oriented Programs Exercise 10: Build a class with inheritance Exercise 11: Changing programming paradigms Exercise 12: Classify programming paradigms Exercise 13: Congratulations!