Python lists are a key part of the language, providing a flexible way to store, handle, and analyze groups of values.
Unlike some other data structures, lists can change size as needed, which is helpful for modeling complex relationships or tracking changes over time.
This article gives a thorough look at Python lists:
It covers the basics of creating and indexing lists, and then moves on to more advanced techniques like slicing, joining lists, and changing them directly.
Tuples are a key data structure in Python used to group and manage collections of values.
They are fixed in size, making them useful for storing data that should not change.
Understanding tuples is important for any Python programmer, whether working on simple scripts or complex projects.
This article explains how tuples work, their syntax, and common uses.
It covers fundamental operations like indexing and slicing, as well as techniques like concatenation and replication.
In this article, we'll take a closer look at the four built-in data structures in Python: lists, tuples, dictionaries, and sets. Each of these data structures has its own distinct characteristics and use cases, and you'll learn how to create and perform basic operations on each of them.