Learn Python Programming

Start with getting started, installation, and core basics. Clear explanations and practical examples to help you learn faster.

Python Inheritance

Inheritance lets a class (child) reuse and extend the behavior of another class (parent). The child inherits all attributes and methods, and can override or add new ones.

Basic Inheritance

# Parent (base) class
class Animal:
    def __init__(self, name, sound):
        self.name = name
        self.sound = sound

    def speak(self):
        return f"{self.name} says {self.sound}!"

    def __str__(self):
        return f"Animal({self.name})"

# Child (derived) class — inherits from Animal
class Dog(Animal):
    def __init__(self, name, breed):
        # Call parent constructor
        super().__init__(name, sound="Woof")
        self.breed = breed  # new attribute

    def fetch(self, item):
        return f"{self.name} fetches the {item}!"

class Cat(Animal):
    def __init__(self, name, indoor=True):
        super().__init__(name, sound="Meow")
        self.indoor = indoor

    def purr(self):
        return f"{self.name} is purring..."

# Usage
dog = Dog("Rex", "Labrador")
cat = Cat("Whiskers")

print(dog.speak())   # Rex says Woof! (inherited method)
print(dog.fetch("ball"))  # Rex fetches the ball! (new method)
print(cat.speak())   # Whiskers says Meow!
print(cat.purr())    # Whiskers is purring...

Method Overriding

# Child classes can override parent methods
class Shape:
    def __init__(self, color="black"):
        self.color = color

    def area(self):
        raise NotImplementedError("Subclasses must implement area()")

    def describe(self):
        return f"{self.color} {type(self).__name__} with area {self.area():.2f}"

class Circle(Shape):
    def __init__(self, radius, color="red"):
        super().__init__(color)
        self.radius = radius

    def area(self):  # override parent method
        import math
        return math.pi * self.radius ** 2

class Rectangle(Shape):
    def __init__(self, width, height, color="blue"):
        super().__init__(color)
        self.width = width
        self.height = height

    def area(self):  # override parent method
        return self.width * self.height

# Usage
shapes = [Circle(5), Rectangle(3, 4, "green"), Circle(2, "yellow")]
for shape in shapes:
    print(shape.describe())
# red Circle with area 78.54
# green Rectangle with area 12.00
# yellow Circle with area 12.57

super() — Calling Parent Methods

# super() lets you call the parent version of a method
class Employee:
    def __init__(self, name, salary):
        self.name = name
        self.salary = salary

    def get_info(self):
        return f"{self.name} - ${self.salary:,}"

class Manager(Employee):
    def __init__(self, name, salary, department):
        super().__init__(name, salary)  # call parent __init__
        self.department = department
        self.reports = []

    def add_report(self, employee):
        self.reports.append(employee)

    def get_info(self):
        # Extend parent method instead of replacing it
        base_info = super().get_info()
        return f"{base_info} | Manages {self.department} ({len(self.reports)} reports)"

emp = Employee("Alice", 75000)
mgr = Manager("Bob", 95000, "Engineering")
mgr.add_report(emp)

print(emp.get_info())  # Alice - $75,000
print(mgr.get_info())  # Bob - $95,000 | Manages Engineering (1 reports)

isinstance() and issubclass()

# Check type relationships
print(isinstance(dog, Dog))     # True
print(isinstance(dog, Animal))  # True (Dog inherits Animal)
print(isinstance(cat, Dog))     # False

print(issubclass(Dog, Animal))  # True
print(issubclass(Animal, Dog))  # False

# Practical: handle different types
def process(obj):
    if isinstance(obj, Manager):
        print(f"Manager: {obj.department}")
    elif isinstance(obj, Employee):
        print(f"Employee: {obj.name}")
    else:
        print("Unknown type")
  • Child classes inherit all methods and attributes from the parent class.
  • Use super().__init__() to call the parent constructor and avoid duplicating code.
  • Override methods in child classes to customize behavior while keeping the same interface.
  • Use isinstance() to check if an object is an instance of a class or its subclasses.
  • Raise NotImplementedError in base class methods that subclasses must implement.

Frequently Asked Questions

Answers to common Python getting-started questions

You can use an online Python editor that runs in your browser. It provides a Python interpreter so you can execute code instantly without setup. This is ideal for quick practice and learning.

Download the latest Python installer from the official Python website, run the installer, and select "Add python.exe to PATH" before clicking "Install Now". After installation, verify with the command: python --version.

Download the macOS installer from the Python website, run it, and follow the steps. Verify the installation with python3 --version in the Terminal. macOS often uses python3 to refer to Python 3.

Open your terminal or command prompt and run python --version (Windows) or python3 --version (macOS/Linux). If you see a version number, Python is installed correctly.

On macOS and Linux, python may refer to Python 2.x while python3 refers to Python 3.x. Use python3 to ensure you are running Python 3.

Yes. Python runs on Windows, macOS, and Linux. Code is generally portable across platforms, especially for beginner-level scripts.

Python Programming Tutorial — Learn Python from Scratch

Python is the world's most popular programming language for beginners, data science, AI/ML, web development, and automation. This tutorial teaches Python step-by-step with clear explanations and runnable code examples. You can try every example in our free Python Compiler without installing anything.

Each topic builds on the previous one, starting from installation and Hello World through advanced concepts like decorators, generators, and file I/O. Whether you are a complete beginner or refreshing specific skills, every page gives you immediately usable code.

What This Tutorial Covers

  • Getting Started: Install Python, run online, Hello World
  • Basics: Variables, data types, type conversion, input/output
  • Operators: Arithmetic, comparison, logical, assignment
  • Control Flow: if/elif/else, for loops, while, break/continue
  • Data Structures: Lists, tuples, sets, dictionaries
  • Strings: Methods, slicing, formatting, f-strings
  • Functions: Parameters, return values, *args, **kwargs, scope
  • OOP: Classes, objects, inheritance, polymorphism
  • File I/O: Reading, writing, CSV, JSON handling
  • Exceptions: try/except, custom exceptions, raise
  • Advanced: List comprehensions, lambda, generators, decorators
  • Modules: import, pip, packages, __name__ == "__main__"

Why Learn Python in 2026?

  • #1 most popular language: Ranked first on TIOBE, Stack Overflow, and GitHub for multiple years running.
  • AI and Data Science: The primary language for machine learning (TensorFlow, PyTorch, scikit-learn), data analysis (Pandas, NumPy), and AI development.
  • Web development: Django and Flask power backends at companies like Instagram, Spotify, and Pinterest.
  • Automation: Automate files, emails, web scraping, reports, and system administration tasks in minutes.
  • Beginner-friendly: Clean syntax with enforced indentation makes code readable from day one — no curly braces or semicolons.
  • Massive job market: Python developers are in high demand across tech, finance, healthcare, and research.

Python vs Other Languages

FeaturePythonJavaJavaScriptC++
SyntaxVery clean, readableVerboseModerateComplex
TypingDynamic, strongStatic, strongDynamic, weakStatic, strong
SpeedSlower (interpreted)Fast (JIT)Fast (V8 JIT)Fastest (native)
Best ForAI/ML, data, automationEnterprise, AndroidWeb frontend/backendSystems, games
Learning Time2–4 weeks basics4–6 weeks basics3–4 weeks basics8–12 weeks basics

How to Get Started

  1. Run Python online: Use our free Python Compiler — no installation needed.
  2. Install locally: Download Python 3 from python.org (Windows/Mac) or use apt install python3 (Linux).
  3. Verify: Run python3 --version in your terminal to confirm installation.
  4. Choose an editor: VS Code with Python extension (free), PyCharm Community (free), or Jupyter Notebook for data science.
  5. Follow this tutorial in order: Start from Introduction and work through each topic sequentially.

Frequently Asked Questions

Do I need prior programming experience?

No. Python is designed to be beginner-friendly. This tutorial starts from absolute zero and builds up gradually.

Which Python version should I use?

Python 3.10+ is recommended. Python 2 reached end-of-life in 2020. All examples in this tutorial use Python 3 syntax.

How long does it take to learn Python?

Basics (syntax, loops, functions) take 2–4 weeks. Intermediate (OOP, file I/O, modules) adds 3–4 weeks. Specialisation (Django, data science, ML) takes another 2–3 months.

Is this tutorial free?

Yes, completely free. No account, no sign-up. All topics and examples available without restriction.

Who Is This For?

Complete beginners choosing their first programming language. Students in CS courses needing a Python reference. Data analysts transitioning from Excel to Python (Pandas). Self-taught developers adding Python to their skill set. Professionals automating repetitive tasks. Anyone preparing for Python coding interviews.