The goal of this course is to transform you into a Python expert, and so the first chapter starts off with best practices when writing functions. You'll cover docstrings and why they matter and how to know when you need to turn a chunk of code into a function. You will also learn the details of how Python passes arguments to functions, as well as some common gotchas that can cause debugging headaches when calling functions.

Docstrings

Crafting a docstring

Retrieving docstrings

Docstrings to the rescue!

DRY and "Do One Thing"

Extract a function

Split up a function

Pass by assignment

Mutable or immutable?

Best practice for default arguments

Best Practices

If you've ever seen the "with" keyword in Python and wondered what its deal was, then this is the chapter for you! Context managers are a convenient way to provide connections in Python and guarantee that those connections get cleaned up when you are done using them. This chapter will show you how to use context managers, as well as how to write your own.

Utilizar gestores de contexto

El número de gatos

La velocidad de los gatos

Escribir gestores de contexto

El gestor de contexto timer()

Un gestor de contexto open() de sólo lectura

Temas avanzados

Casos de uso del gestor de contexto

Raspando la NASDAQ

Cambiar el directorio de trabajo

Context Managers

Decorators are an extremely powerful concept in Python. They allow you to modify the behavior of a function without changing the code of the function itself. This chapter will lay the foundational concepts needed to thoroughly understand decorators (functions as objects, scope, and closures), and give you a good introduction into how decorators are used and defined. This deep dive into Python internals will set you up to be a superstar Pythonista.

Functions are objects

Building a command line data app

Reviewing your co-worker's code

Returning functions for a math game

Scope

Understanding scope

Modifying variables outside local scope

Closures

Checking for closure

Closures keep your values safe

Decorators

Using decorator syntax

Defining a decorator

Now that you understand how decorators work under the hood, this chapter gives you a bunch of real-world examples of when and how you would write decorators in your own code. You will also learn advanced decorator concepts like how to preserve the metadata of your decorated functions and how to write decorators that take arguments.

Real-world examples

Print the return type

Counter

Decorators and metadata

Preserving docstrings when decorating functions

Measuring decorator overhead

Decorators that take arguments

Run_n_times()

HTML Generator

Timeout(): a real world example

Tag your functions

Check the return type

Great job!

More on Decorators

Has hecho tu análisis, elaborado tu informe y entrenado un modelo. ¿Y ahora qué? Pues bien, si quieres desplegar tu modelo en producción, tu código tendrá que ser más fiable que los scripts exploratorios de un cuaderno Jupyter. Escribir funciones en Python te proporcionará una base sólida para escribir funciones complejas y bellas, de modo que puedas aportar a tu equipo conocimientos de investigación e ingeniería. Aprenderás trucos útiles, como a escribir gestores de contexto y decoradores. También aprenderás las mejores prácticas sobre cómo escribir funciones reutilizables y mantenibles con una buena documentación. Dicen que las personas que saben investigar bien y escribir código de alta calidad son unicornios. ¡Haz este curso y descubre la magia!

Python Toolbox

Aprende a usar mejores prácticas para escribir funciones mantenibles, reutilizables y bien documentadas.

Escribir funciones en Python

Aprende a utilizar las prácticas recomendadas para escribir funciones complejas con buena documentación que se puedan mantener y reutilizar.

Científico de datos asociado  en Python

Python for Software Engineering

Casos de uso del gestor de contexto

Escribir funciones en Python

ejercicio interactivo práctico