LEARN COMPLETE PYTHON IN 24 HOURS
🟦 Python Basics
🔹 1. Introduction to Python
1.1 What is Python and Why Learn It in 2025?
1.2 Who Uses Python Today?
1.3 Python vs Other Languages
1.4 How to Install Python
1.5 Setting Up VS Code
🔹 2. Basic Building Blocks
🔹 3. Operators in Python
🔹 4. Taking Input & Output
🔹 5. Control Flow (if-else)
🔹 6. Loops in Python
🔹 7. Lists
🔹 8. Tuples
🔹 9. Strings (Deep Dive)
🔹 10. Dictionaries
🔹 11. Sets
🔹 12. Functions
🔹 13. Modules & Packages
🔹 14. Mini Projects
12. Functions – Reusing Code
A function is a block of code that performs a specific task. You define it once and call it many times — avoids repetition (DRY principle: Don't Repeat Yourself).
12.1 Defining & Calling Functions
Syntax to define a function:
Python
def function_name(parameters): # optional parameters # code to execute # optional return statement
Calling (using) the function:
Python
function_name(arguments)
Example – Simple function
Python
def greet(): print("Hello, Anshuman!") print("Welcome to Python 2026!") # Call the function greet() greet() # You can call it multiple times
Output:
text
Hello, Anshuman! Welcome to Python 2026! Hello, Anshuman! Welcome to Python 2026!
Example with parameter
Python
def greet(name): print(f"Hello, {name}! How are you?") greet("Anshuman") greet("Rahul")
Output:
text
Hello, Anshuman! How are you? Hello, Rahul! How are you?
Tip: Function name should be lowercase with underscores (snake_case) — e.g., calculate_area
12.2 Parameters vs Arguments
Parameter: Variable listed inside the parentheses in the function definition (placeholder)
Argument: Actual value passed when you call the function
Python
def add(a, b): # a, b are parameters print(a + b) add(5, 3) # 5, 3 are arguments add(10, 20) # positional arguments
Output:
text
8 30
12.3 Default Arguments
You can give parameters default values — they become optional.
Syntax:
Python
def function_name(param=default_value): ...
Example:
Python
def greet(name="Guest"): print(f"Hello, {name}! Welcome!") greet("Anshuman") # Hello, Anshuman! Welcome! greet() # Hello, Guest! Welcome!
Important Rule: Default parameters must come after non-default ones
Python
# Correct def info(name, age=25, city="Muzaffarpur"): print(name, age, city) # Wrong → SyntaxError # def info(age=25, name, city): ...
12.4 Keyword Arguments
Pass arguments using parameter names — order doesn't matter.
Example:
Python
def person_info(name, age, city): print(f"{name} is {age} years old from {city}") person_info(age=25, name="Anshuman", city="Muzaffarpur") # Order doesn't matter when using keywords
Mix positional + keyword (positional first)
Python
person_info("Rahul", city="Patna", age=24)
Tip: Keyword arguments make code more readable when there are many parameters.
12.5 args and *kwargs
Used when you don't know how many arguments will be passed.
*args → collects extra positional arguments into a tuple
**kwargs → collects extra keyword arguments into a dictionary
*Example – args
Python
def sum_numbers(*args): total = 0 for num in args: total += num return total print(sum_numbers(1, 2, 3)) # 6 print(sum_numbers(10, 20, 30, 40)) # 100 print(sum_numbers()) # 0
**Example – kwargs
Python
def print_info(**kwargs): for key, value in kwargs.items(): print(f"{key}: {value}") print_info(name="Anshuman", age=25, city="Muzaffarpur", hobby="coding")
Output:
text
name: Anshuman age: 25 city: Muzaffarpur hobby: coding
Combined Example
Python
def advanced_func(a, b, args, *kwargs): print("a:", a) print("b:", b) print("args:", args) print("kwargs:", kwargs) advanced_func(10, 20, 30, 40, name="Test", city="Bihar")
Output:
text
a: 10 b: 20 args: (30, 40) kwargs: {'name': 'Test', 'city': 'Bihar'}
Tip: Common in real libraries (e.g., print(), matplotlib.plot())
12.6 Return Statement
return sends a value back to the caller. Function stops after return.
Examples:
Python
def square(num): return num * num result = square(5) print(result) # 25 print(square(10)) # 100
Multiple returns (one at a time)
Python
def check_even_odd(num): if num % 2 == 0: return "Even" else: return "Odd" print(check_even_odd(10)) # Even
Return multiple values (packs into tuple)
Python
def get_person(): return "Anshuman", 25, "Muzaffarpur" name, age, city = get_person() # unpacking print(name, age, city)
Tip: If no return, function returns None by default.
12.7 Scope – Local vs Global Variables
Local scope → Variables defined inside function (only accessible inside) Global scope → Variables defined outside (accessible everywhere, but careful)
Example:
Python
x = 100 # global def my_func(): y = 200 # local print("Inside function: x =", x) # can read global print("y =", y) my_func() print("Outside: x =", x) # print(y) # Error! y is local
Modify global inside function
Python
count = 0 def increment(): global count count += 1 print("Count:", count) increment() # Count: 1 increment() # Count: 2 print(count) # 2
Tip: Avoid modifying globals too much — pass as parameters instead for cleaner code.
12.8 Lambda Functions (Anonymous Functions)
Short, nameless functions — used for one-liners.
Syntax:
Python
lambda arguments: expression
Examples:
Python
# Normal function def square(x): return x x # Lambda equivalent square_lambda = lambda x: x x print(square_lambda(5)) # 25
Common uses – with map(), filter(), sort()
Python
numbers = [1, 2, 3, 4, 5] # Double each doubled = list(map(lambda x: x * 2, numbers)) print(doubled) # [2, 4, 6, 8, 10] # Filter even evens = list(filter(lambda x: x % 2 == 0, numbers)) print(evens) # [2, 4] # Sort by length words = ["apple", "banana", "kiwi"] sorted_words = sorted(words, key=lambda w: len(w)) print(sorted_words) # ['kiwi', 'apple', 'banana']
Mini Project – Calculator using Functions
Python
def add(x, y): return x + y def subtract(x, y): return x - y def multiply(x, y): return x y def divide(x, y): if y == 0: return "Cannot divide by zero!" return x / y operations = { "+": add, "-": subtract, "": multiply, "/": divide } print("Simple Calculator") num1 = float(input("First number: ")) op = input("Operator (+ - * /): ") num2 = float(input("Second number: ")) if op in operations: result = operations[op](num1, num2) print(f"{num1} {op} {num2} = {result}") else: print("Invalid operator!")
This completes the full Functions section — now you can write reusable, powerful code!
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