Programmation Python

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.

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.

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.

Apprenez à écrire un code efficace, rapide et optimisé dans l’utilisation des ressources pour éviter les surcoûts inutiles.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Maîtrisez les tests Python : Apprenez des méthodes, créez des vérifications et assurez-vous d'un code sans erreur avec pytest et unittest.

Découvrez les concepts fondamentaux de la programmation orientée objet (POO), en construisant des classes et des objets personnalisés !

Review a data analysis workflow for adherence to Python standards and best-practices.