Python Data Structures: Mastering Lists, Tuples, Dictionaries, and Sets
Python Data Structures: Mastering Lists, Tuples, Dictionaries, and Sets 1. Introduction In our earlier guides, we worked with fundamental variables holding single values—like an integer roll number or a string name—and explored abstract linear concepts like Stacks and Queues. But in everyday programming, software frequently needs to store and manage groups of related items: an attendance roster of 40 students, a subject score lookup table, or unique registration numbers. In Python, collections of items are handled through powerful built-in Data Structures. The four primary built-in data types used to store collections are Lists, Tuples, Dictionaries, and Sets. Knowing which one to use in your script determines how fast your program executes, how clean your code looks, and how easily data can be updated. 2. Visual Sketchnote: Python Collections at a Glance ╔══════════════════════════════════════════════════════════════════════════════╗ ║ PYTHON DATA STRUCT...