Python Data Model underpins Python’s behavior and provides a consistent framework for understanding how objects, values, and types interact. This article lets you explore the fascinating world of the Python Data Model.
Introduction
The Python Data Model defines the Python’s understanding of data. It’s full of abstract concepts that new software developers will struggle to understand.
One of Python’s best features is its consistency. However, if you learned another object-oriented programming language before Python, you might have considered it unusual to use len(collection) rather than collection.len(). This apparent peculiarity is only the tip of the iceberg. The iceberg is known as the Python data model.
The data model can be interpreted as a description of Python’s building blocks, which include strings, numbers, sequences, iterators, functions, classes, and context managers etc.
At its core, the Python data model defines how objects behave in the language. It provides a consistent framework for understanding how different types of objects interact and how they can be manipulated.
