Combine elementos de fluxo de controle

Sua colega ficou muito grata por você ter ajudado com o código para verificar a lista de nomes e voltou pedindo mais ajuda! Desta vez, ela quer um código que verifique todos os nomes na lista names_list e os imprima se tiverem mais de dez letras. Ela quer encapsular tudo isso em uma função chamada print_long_names.

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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: O que é programação procedural?Exercise 2: Separação de responsabilidades Exercise 3: Reconhecendo procedimentos Exercise 4: Quando a programação procedural é usada?Exercise 5: Prós e contras da programação procedural Exercise 6: Casos de uso de programação procedural Exercise 7: Fluxo de controle na programação procedural Exercise 8: Entendendo o fluxo de controle Exercise 9: Combine elementos de fluxo de controle

Exercicio Atual

Exercise 10: Construa um programa procedural básico

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: 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!