Classes in Python are a way to create your own data types by grouping data and behaviour together. In simple terms, a class is a blueprint, and an object is a real instance created from that blueprint. Classes are part of object-oriented programming, and they help you organise code when a project becomes larger or when you want reusable, structured logic.
A class can store data in the form of attributes. For example, you can create a class called Student that stores attributes like name, roll_number, and marks. A class can also contain functions called methods. Methods define what the object can do, such as calculating an average, validating input, or formatting output.
One important method you will often see is the constructor, written as init. It runs automatically when you create an object and is used to set up the initial attributes. For example, when you create a Student object, init can store the student’s name and marks inside the object.
In data analysis, you might not use classes in every small notebook, but they become useful when you build bigger projects. For example, you can create a class to manage a dataset workflow with steps like load_data, clean_data, and create_report. You can also create classes to represent business entities like Customer, Order, or Transaction, especially when data comes from APIs or JSON structures.
Classes improve code structure, reduce repetition, and make it easier to maintain and reuse logic. They also make collaboration easier, because a well-designed class clearly shows what data it holds and what operations it supports.
