Reference library

OOP & classes

Classes, instances, methods, dataclasses, and object-oriented design in Python.

3 matches
OOP & classes easy

Design a Data Helper Class in Python

Create a simple Object-Oriented data helper with DataPoint and Dataset classes that store, describe, and summarize coordinate points.

oop classes data-helper
Python
class DataPoint:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.label = None

    def describe(self):
        """Return a human-readable description of the data point."""
        base = f"DataPoint(x={self.x}, y={self.y})"
        return f"{base}, label='{self.label}'" if self.label e…
15 0 Open
OOP & classes easy

How to Build a Data Helper Class in Python with OOP

Create a beginner-friendly Python class that loads CSV data, filters records by field, and counts entries using object-oriented programming.

oop csv data
Python
class DataHelper:
    """A beginner-friendly OOP helper for handling simple datasets."""
    
    def __init__(self, filename):
        self.filename = filename
        self.data = self._load_data()
    
    def _load_data(self):
        """Load data from a CSV file into a list of dictionaries."""
        import csv
 …
12 0 Open
OOP & classes easy

How to Define a Simple Class with __init__ and __repr__ in Python

Defines a Person class with __init__ to store name and age, and __repr__ to give a readable string representation.

class oop init
Python
class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def __repr__(self):
        return f"Person(name='{self.name}', age={self.age})"


if __name__ == "__main__":
    p1 = Person("Alice", 30)
    p2 = Person("Bob", 25)
    print(p1)
    print(p2)
10 0 Open

Browse by section

Each section groups closely related Python snippets.

OOP & classes — Python code examples

What you will find here

This page collects oop & classes snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.