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Python: Más allá del nivel intermedio

4.7+

★★★★★

4913 reseñas

Beginner

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python

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What you will learn

Grasp the fundamental concepts of Python, including variables, types, and conditional statements.
Understand complex data types such as lists, tuples, and dictionaries and their associated methods.
Get acquainted with loops for iteratively handling tasks and nested loops for more complex scenarios.
Develop proficiency in defining, modifying, and utilizing functions as well as mastering lambda expressions.

117 chapters
12 hours
85 tasks

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Learning track content

Module 1 / Introducción a Python

En esta sección, aprenderás los conceptos básicos de Python, te familiarizarás con tu espacio de trabajo, abordarás operaciones matemáticas sencillas y mostrarás tus resultados.

Aquí aprenderás a almacenar elementos como números y texto en la memoria del ordenador, recordándolos por su nombre. También aprenderás a manipular texto en Python.

Aquí, profundizarás en el tipo de dato booleano y descubrirás su papel en la creación de programas que responden a condiciones específicas.

Continuando con los tipos de datos, esta sección te enseñará cómo agrupar varios atributos dentro de una única variable utilizando las lists, tuples y los dictionaries.

En esta parte, dominarás el arte de escribir Loops (Bucles) en Python - construcciones esenciales para iterar sobre lists, tuples, dictionaries, e incluso futuros dataframes.

Para concluir nuestro curso introductorio, exploraremos algunas funciones incorporadas y, a continuación, nos embarcaremos en la creación de nuestras propias funciones.

Module 2 / Intermediate Python: Arguments, Scopes and Decorators

Este tema le resultará ameno y aprenderá a empaquetar y desempaquetar valores en una sola tarea.

Explore la potencia de los argumentos de función de Python, *args, **kwargs, y aprenda a utilizar eficazmente las funciones como argumentos.

Descubra las funciones de orden superior y cómo las funciones pueden pasarse como argumentos a otras funciones en programación.

¿Qué es el ámbito variable y cómo nos las arreglábamos antes sin él? Este tema es esencial para entender los siguientes temas: Cierres y Decoradores. Te aseguro que este tema te resultará ameno y práctico. Adquirirás conocimientos sobre variables locales, no locales y globales.

Esta sección proporciona una exploración en profundidad de los decoradores de Python, una potente característica que permite modificar y mejorar el comportamiento de las funciones. Los participantes aprenderán a escribir sus propios decoradores, a entender los decoradores incorporados y a aplicarlos en situaciones prácticas.

Module 3 / Python Advanced Concepts

If you find yourself frustrated with import statements, the difference between modules and libraries, or managing your Python project structure, this section is your key to clarity.

Want to debug your code effectively and understand the power of leveraging various errors? This section demystifies error handling in Python, showcasing why it’s crucial for developers to master these skills for robust applications.

Eager to automate file operations in your projects? This section delves into the essentials of file handling in Python, equipping you with the tools to read, write, and manage files efficiently for smoother, more powerful applications.

You will learn the ins and outs of testing with Pytest and the fundamentals of Test-Driven Development (TDD). This section guides you through creating robust tests that enhance your code's reliability and streamline your development process.

Master automation testing with Unittest. Learn how to cover various test cases effectively using setup, teardown, and mocking.

Requirements

A computer with a browser - all browsers are supported.
Your enthusiasm to enhance your tech skills.
Everything else needed to start learning and practicing is already included in this course.

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