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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 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.
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.
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.
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. Before jumping into NamedTuples, let's quickly revisit Python tuples. Tuples are powerful built-in data structures in Python.
Named tuples are tuples whose element positions have meaningful names. Use the namedtuple function of the collections standard library to create a named tuple class. Named tuples are immutable.
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.
Named tuples in Python offer a compact, efficient way to create structured, readable, and immutable data objects without the overhead of a full class definition. From simple data structures to more complex, extended functionalities, named tuples can significantly enhance code readability and maintainability.
Named tuples are an extension to the built-in tuple type. 00:10 Everything you can do with the base data type can be done with the named variant. In addition to that, a named tuple treats its members as attributes, giving you the ability to name the parts of the tuple and access them using dot notation.
This article focuses on Python named tuples, a specialized type of tuple that combines the power of regular tuples with the added flexibility of named fields. Compared to regular tuples, named tuples can make code simpler, more readable and more maintainable — and even more Pythonic.