Learn Python Programming
Start with getting started, installation, and core basics. Clear explanations and practical examples to help you learn faster.
Python Functions
A function is a reusable block of code that performs a specific task. Functions help organize code, reduce repetition, and make programs easier to read and maintain.
Defining and Calling Functions
# Basic function definition
def greet(name):
"""Return a greeting message."""
return f"Hello, {name}!"
# Calling the function
message = greet("Alice")
print(message) # Hello, Alice!
# Function with no return (returns None implicitly)
def print_separator():
print("-" * 40)
print_separator()
# Function with multiple return values (tuple)
def min_max(numbers):
return min(numbers), max(numbers)
low, high = min_max([3, 1, 7, 2, 9])
print(f"Min: {low}, Max: {high}") # Min: 1, Max: 9
Parameters and Return Values
# Default parameter values
def power(base, exponent=2):
return base ** exponent
print(power(5)) # 25 (uses default exponent=2)
print(power(2, 10)) # 1024
# Returning different types based on logic
def divide(a, b):
if b == 0:
return None # indicate failure
return a / b
result = divide(10, 3)
if result is not None:
print(f"Result: {result:.2f}") # Result: 3.33
# Multiple returns with early exit
def find_first_negative(numbers):
for i, n in enumerate(numbers):
if n < 0:
return i, n
return -1, None # not found
index, value = find_first_negative([5, 3, -2, 8])
print(f"Found {value} at index {index}") # Found -2 at index 2
Docstrings and Type Hints
# Type hints (Python 3.5+) improve readability and IDE support
def calculate_bmi(weight_kg: float, height_m: float) -> float:
"""Calculate Body Mass Index.
Args:
weight_kg: Weight in kilograms.
height_m: Height in meters.
Returns:
BMI value as a float.
"""
return weight_kg / (height_m ** 2)
bmi = calculate_bmi(70, 1.75)
print(f"BMI: {bmi:.1f}") # BMI: 22.9
# Access docstring
print(calculate_bmi.__doc__)
Functions as First-Class Objects
# Functions can be assigned to variables
say_hi = greet
print(say_hi("Bob")) # Hello, Bob!
# Functions can be passed as arguments
def apply_twice(func, value):
return func(func(value))
def add_ten(x):
return x + 10
print(apply_twice(add_ten, 5)) # 25 (5+10=15, 15+10=25)
# Functions can be returned from other functions
def multiplier(factor):
def multiply(x):
return x * factor
return multiply
double = multiplier(2)
triple = multiplier(3)
print(double(5)) # 10
print(triple(5)) # 15
- Use
defto define functions; they execute only when called. - Functions without
returnimplicitly returnNone. - Use docstrings (triple quotes) to document what a function does.
- Type hints are optional but improve code clarity and enable IDE autocomplete.
- Python functions are first-class objects — store, pass, and return them freely.
Frequently Asked Questions
Answers to common Python getting-started questions
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
| Feature | Python | Java | JavaScript | C++ |
|---|---|---|---|---|
| Syntax | Very clean, readable | Verbose | Moderate | Complex |
| Typing | Dynamic, strong | Static, strong | Dynamic, weak | Static, strong |
| Speed | Slower (interpreted) | Fast (JIT) | Fast (V8 JIT) | Fastest (native) |
| Best For | AI/ML, data, automation | Enterprise, Android | Web frontend/backend | Systems, games |
| Learning Time | 2–4 weeks basics | 4–6 weeks basics | 3–4 weeks basics | 8–12 weeks basics |
How to Get Started
- Run Python online: Use our free Python Compiler — no installation needed.
- Install locally: Download Python 3 from
python.org(Windows/Mac) or useapt install python3(Linux). - Verify: Run
python3 --versionin your terminal to confirm installation. - Choose an editor: VS Code with Python extension (free), PyCharm Community (free), or Jupyter Notebook for data science.
- Follow this tutorial in order: Start from Introduction and work through each topic sequentially.
Frequently Asked Questions
No. Python is designed to be beginner-friendly. This tutorial starts from absolute zero and builds up gradually.
Python 3.10+ is recommended. Python 2 reached end-of-life in 2020. All examples in this tutorial use Python 3 syntax.
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.
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.