Learn Python Programming
Start with getting started, installation, and core basics. Clear explanations and practical examples to help you learn faster.
Python Function Arguments
Python offers flexible ways to pass data into functions: positional arguments, keyword arguments, default values, and variable-length argument lists.
Positional and Keyword Arguments
# Positional arguments — order matters
def greet(name, greeting):
return f"{greeting}, {name}!"
print(greet("Alice", "Hello")) # Hello, Alice!
# Keyword arguments — order does not matter
print(greet(greeting="Hi", name="Bob")) # Hi, Bob!
# Mix positional and keyword (positional must come first)
print(greet("Charlie", greeting="Hey")) # Hey, Charlie!
Default Parameter Values
def create_user(name, role="viewer", active=True):
return {"name": name, "role": role, "active": active}
# Use defaults
print(create_user("Alice"))
# {"name": "Alice", "role": "viewer", "active": True}
# Override defaults
print(create_user("Bob", role="admin"))
# {"name": "Bob", "role": "admin", "active": True}
# CAUTION: Never use mutable default arguments!
# BAD:
def append_to(item, lst=[]): # shared across calls!
lst.append(item)
return lst
# GOOD: Use None as sentinel
def append_to_safe(item, lst=None):
if lst is None:
lst = []
lst.append(item)
return lst
*args — Variable Positional Arguments
# *args collects extra positional arguments into a tuple
def total(*numbers):
return sum(numbers)
print(total(1, 2, 3)) # 6
print(total(10, 20, 30, 40)) # 100
# Practical: flexible logging function
def log(message, *tags):
tag_str = " ".join(f"[{t}]" for t in tags)
print(f"{tag_str} {message}")
log("Server started", "INFO", "SERVER")
# [INFO] [SERVER] Server started
**kwargs — Variable Keyword Arguments
# **kwargs collects extra keyword arguments into a dictionary
def build_profile(name, **details):
profile = {"name": name}
profile.update(details)
return profile
user = build_profile("Alice", age=30, city="NYC", job="Engineer")
print(user)
# {"name": "Alice", "age": 30, "city": "NYC", "job": "Engineer"}
# Combining all argument types (order matters)
def full_example(required, *args, key="default", **kwargs):
print(f"required: {required}")
print(f"args: {args}")
print(f"key: {key}")
print(f"kwargs: {kwargs}")
full_example("hello", 1, 2, 3, key="custom", x=10, y=20)
Unpacking Arguments
# Unpack a list/tuple into positional arguments with *
def add(a, b, c):
return a + b + c
numbers = [1, 2, 3]
print(add(*numbers)) # 6
# Unpack a dict into keyword arguments with **
config = {"host": "localhost", "port": 8080, "debug": True}
def start_server(host, port, debug=False):
print(f"Starting {host}:{port} (debug={debug})")
start_server(**config) # Starting localhost:8080 (debug=True)
Keyword-Only and Positional-Only Parameters
# Keyword-only: parameters after * must be passed by name
def fetch(url, *, timeout=30, verify=True):
print(f"GET {url} (timeout={timeout}, verify={verify})")
fetch("https://api.example.com", timeout=10) # OK
# fetch("https://api.example.com", 10) # TypeError!
# Positional-only (Python 3.8+): parameters before / must be positional
def pow(base, exp, /):
return base ** exp
print(pow(2, 10)) # 1024
# pow(base=2, exp=10) # TypeError!
- Order of parameters: positional,
*args, keyword with defaults,**kwargs. - Never use mutable objects (lists, dicts) as default values — use
Noneinstead. - Use
*to unpack sequences and**to unpack dicts when calling functions. - Use keyword-only arguments (after
*) for clarity in functions with many options.
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.