Programación Orientada a Objetos con Python

Go to Course: https://www.coursera.org/learn/programacion-python-objetos

Introduction

**Course Review: Programación Orientada a Objetos con Python on Coursera** In the rapidly evolving world of software development, a strong foundation in object-oriented programming (OOP) is essential for aspiring programmers. The Coursera course, titled **Programación Orientada a Objetos con Python**, offers a comprehensive dive into the principles of OOP through the powerful, versatile programming language Python 3.0. If you are looking to build your programming skills and deepen your understanding of OOP concepts, this course is highly recommended. ### Overview The course provides quick access to the key concepts of the object-oriented programming paradigm. By the end of the course, participants will have the ability to design programs using objects and diagram UML. This foundation allows for the design and construction of sophisticated systems, accurately modeling various aspects of real-world scenarios. Additionally, students will learn to produce quality systems through automatic tests and code restructuring, skills that are critical in today's programming landscape. ### Syllabus Breakdown **1. Introduction to Object-Oriented Programming (OOP)** The first module lays a solid groundwork. It starts with a clear explanation of what OOP is and what constitutes a program under this paradigm. Students learn about essential concepts such as objects, messages, collaboration, and knowledge relationships. The module also contrasts prototype-based and class-based OOP, with Python being a class-based language. Key topics include: - Working with classes - Instance and class methods - Instance and class variables - Inheritance and polymorphism - Best practices in OOP This module is particularly beneficial for beginners, providing an accessible entry point into the world of OOP. **2. Object Design** The second module progresses to important design principles that enhance programming quality. Here, concepts such as simplicity, consistency, understandability, maximum cohesion, and minimum coupling are explored. Participants are introduced to practical rules that assist in robust object-oriented programming. These principles are crucial for preventing common pitfalls in software design. **3. UML Design** In the third module, students engage with UML (Unified Modeling Language) diagrams, which are essential tools for object-oriented design. Learners will understand the purpose of different types of UML diagrams—specifically object, class, and sequence diagrams. This module provides hands-on experience with UML, which is invaluable for visualizing and organizing code and system architecture. **4. Testing and TDD** The final module wraps up the course with a focus on software development practices that ensure high-quality coding. Students learn how to implement automatic unit testing, which strengthens their programs by identifying potential issues early. The module also covers code refactoring and the popular Test Driven Development (TDD) process, which fosters iterative and incremental program development. By learning these techniques, students will be equipped to continuously improve their code as their understanding of a problem domain grows. ### Conclusion and Recommendations Overall, **Programación Orientada a Objetos con Python** is an excellent course that provides a well-rounded comprehension of object-oriented programming. The modular structure allows learners to progressively acquire knowledge, making it suitable for both beginners and those looking to refresh their skills. The hands-on approach, combined with theoretical knowledge, ensures that students will leave the course with practical skills that can be applied immediately in real-world scenarios. I highly recommend this course if you aim to: - Develop a solid understanding of OOP concepts. - Gain practical experience in Python programming. - Enhance your design capabilities with UML. - Learn essential software quality practices, including unit testing and TDD. Enrolling in this course on Coursera could very well be the next step in your programming journey. Whether you are an aspiring developer or a professional looking to sharpen your skills, this course equips you with the knowledge and tools necessary to succeed in today's tech-driven environment.

Syllabus

Introducción a la Programación Orientada a Objetos

En este módulo abordaremos los siguientes contenidos: veremos qué es el paradigma orientado a objetos y qué es un programa según este paradigma. Luego aprenderemos los conceptos de objeto, mensaje, colaboración y relación de conocimiento. Veremos que existen dos implementaciones del paradigma orientado a objetos: uno basado en prototipos y otro basado en clases. Python implementa el paradigma orientado a objetos utilizando clases. Aprenderemos a trabajar con clases, métodos de instancia, métodos de clase, variables de instancia y variables de clase. Además, veremos los conceptos de herencia y polimorfismo y aprenderemos como utilizar bien estos mecanismos. Finalmente, veremos algunas buenas prácticas en la programación orientada a objetos.

Avanzamos al módulo 2 de contenido. En esta semana aprenderemos los principios de diseño que nos ayudan a hacer mejores diseños, sin caer en los errores más comunes. Veremos los principios de simplicidad, consistencia, entendible, máxima cohesión y mínimo acoplamiento. Además, aprenderemos varias reglas prácticas que nos ayudarán a programar mejor en el paradigma orientado a objetos.

Llegamos al módulo 3 del curso. En esta semana trabajaremos con diagramas UML. Comprenderás qué son y para qué sirven los diagramas de objetos, los diagramas de clases y los diagramas de secuencia. Además, utilizaremos el lenguaje de diagramas (UML) para realizar los diagramas de objeto, de clase y de secuencia.

Llegamos al último Módulo del curso. Felicitaciones por haber llegado hasta aquí. En esta semana aprenderemos diferentes técnicas de desarrollo de software, que nos permiten construir software de buena calidad. Primero nos abocaremos a aprender a hacer pruebas unitarias automáticas de nuestros programas. Luego aprenderemos qué es la refactorización de código y veremos diversos tipos de refactorings muy utilizados. Finalmente, veremos la técnica de programación Test Driven Development (TDD ), que nos permite construir programas de forma iterativa e incremental partiendo desde los test y refactorizando el código para mejorar los programas que hacemos a medida que conocemos más el dominio de problema.