Learn Python Programming

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

Python Package

A package is a directory containing Python modules and a special __init__.py file. Packages let you organize related modules into a hierarchical structure.

Package Structure

# A typical package structure:
# myproject/
# ├── __init__.py          # makes this directory a package
# ├── core.py              # module with core logic
# ├── utils.py             # utility functions
# └── models/              # sub-package
#     ├── __init__.py
#     ├── user.py
#     └── product.py

# __init__.py can be empty or contain package initialization code

Creating a Package

# File: mypackage/__init__.py
"""My reusable package."""
__version__ = "1.0.0"

# Optionally expose key items at package level
from .core import process_data
from .utils import clean_text

# File: mypackage/core.py
def process_data(data):
    """Process raw data and return results."""
    return [item.strip().lower() for item in data]

# File: mypackage/utils.py
def clean_text(text):
    """Remove extra whitespace."""
    return " ".join(text.split())

def format_name(first, last):
    """Format a full name."""
    return f"{first.title()} {last.title()}"

Importing from Packages

# Import the package (runs __init__.py)
import mypackage
print(mypackage.__version__)  # "1.0.0"

# Import a module from the package
from mypackage import utils
print(utils.clean_text("  hello   world  "))

# Import a specific function
from mypackage.utils import format_name
print(format_name("john", "doe"))  # "John Doe"

# Import from sub-package
from mypackage.models.user import User

# Alias for convenience
from mypackage.core import process_data as process

Relative Imports (Within a Package)

# File: mypackage/core.py
# Use relative imports to reference other modules in the same package

from .utils import clean_text          # same directory
from .models.user import User          # sub-package
from ..shared import constants         # parent package (if nested)

# Relative import syntax:
# .  = current package
# .. = parent package
# ... = grandparent package

# Note: relative imports only work inside packages
# Running a file directly (python core.py) breaks relative imports
# Always run from outside: python -m mypackage.core

Package with __init__.py Configuration

# File: mypackage/__init__.py

# Control what "from mypackage import *" exports
__all__ = ["process_data", "clean_text", "User"]

# Package-level imports for convenient access
from .core import process_data
from .utils import clean_text
from .models.user import User

# Now users can do:
# from mypackage import process_data, User
# instead of:
# from mypackage.core import process_data
# from mypackage.models.user import User

Installing Your Own Package

# Create a minimal pyproject.toml (modern standard)
# mypackage/
# ├── pyproject.toml
# ├── src/
# │   └── mypackage/
# │       ├── __init__.py
# │       └── core.py

# pyproject.toml content:
# [project]
# name = "mypackage"
# version = "1.0.0"
# [build-system]
# requires = ["setuptools"]
# build-backend = "setuptools.backends._legacy:_Backend"

# Install in development mode:
# pip install -e .
# Now you can import mypackage from anywhere
  • A package is a directory with __init__.py — it groups related modules together.
  • Use __init__.py to expose a clean public API and control import * behavior.
  • Use relative imports (from .module import func) within packages.
  • Run package modules with python -m package.module to avoid import issues.
  • Use pip install -e . for development to make your package importable globally.

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.