Named tuples are basically easy-to-create, lightweight object types. Named tuple instances can be referenced using object-like variable dereferencing or the standard tuple syntax. They can be used similarly to struct or other common record types, except that they are immutable.
collection.namedtuple est un raccourci économe en mémoire pour définir manuellement une classe immuable en Python; Namedtuples peut vous aider à nettoyer votre code en appliquant une structure plus facile à comprendre sur vos données ;
Python collections.namedtuple. The namedtuple () in Python is a data type from the collections module. It assigns a name to each position in a tuple, allowing elements to be accessed by field names, similar to how we access elements in a tuple by index. The namedtuple () class returns a new tuple subclass named typename.
A namedtuple is a data type in the collections module. It is a tuple subclass that allows you to create immutable objects with named fields. This improves code readability by providing meaningful names for each element and making the code more explicit.
In this step-by-step tutorial, you'll learn what Python's namedtuple is and how to use it in your code. You'll also learn about the main differences between named tuples and other data structures, such as dictionaries, data classes, and typed named tuples.
What is a namedtuple in Python? A namedtuple in Python is a subclass of tuples that allows you to access its elements by name as well as by index. It is part of the collections module and provides a way to create self-documenting, immutable data structures.
In this tutorial, you'll learn how to use the Python namedtuple function to create named tuples.
A NamedTuple provides the immutability of a tuple, while also making your code easy to understand and use. In this tutorial, you'll learn how to create and use NamedTuples effectively. Python Tuples – A Quick Recap
namedtuple() Factory Function for Tuples with Named Fields¶ Named tuples assign meaning to each position in a tuple and allow for more readable, self-documenting code. They can be used wherever regular tuples are used, and they add the ability to access fields by name instead of position index.
The Python collections module provides a helpful factory function, namedtuple, which allows you to create named tuples in Python. The idea behind named tuples is to make working with tuples more pythonic by allowing you to access data in the tuple using their label, rather than their index position.