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.

Docstring

Scrivere una docstring

Recuperare le docstring

Docstring, salvaci tu!

DRY e "Fai una sola cosa"

Estrai una funzione

Dividi una funzione

Passaggio per assegnazione

Mutabile o immutabile?

Buone pratiche per gli argomenti di default

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.

Using context managers

The number of cats

The speed of cats

Writing context managers

The timer() context manager

A read-only open() context manager

Advanced topics

Context manager use cases

Scraping the NASDAQ

Changing the working directory

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

Hai finito l’analisi, creato il report e addestrato un modello. E adesso? Se vuoi portare il modello in produzione, il tuo codice dovrà essere più affidabile rispetto agli script esplorativi in un Jupyter notebook. Scrivere funzioni in Python ti darà solide basi per scrivere funzioni complesse ed eleganti, così potrai contribuire al tuo team con competenze di ricerca e di engineering. Imparerai trucchi utili, come scrivere context manager e decorator. Scoprirai anche le best practice per scrivere funzioni riutilizzabili e manutenibili, con una buona documentazione. Si dice che chi sa fare buona ricerca e scrivere codice di alta qualità sia un unicorno. Segui questo corso e scopri la magia!

Python Toolbox

Impara a usare le migliori pratiche per scrivere funzioni complesse, riutilizzabili e ben documentate.

Scrivere funzioni in Python

Impara a usare le migliori pratiche per scrivere funzioni complesse, facili da mantenere e riutilizzare, con una buona documentazione.

DRY e "Fai una sola cosa"

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