Python Functions and Lambda Expressions: What I Learned Today

Today was one of those productive days in my Python learning journey. I dove deeper into functions, understood how return statements work, and even got introduced to the sleek and compact lambda functions. Here’s a quick breakdown of what I covered:

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Understanding Functions in Python

A function is like a blender — you feed in ingredients (data), it processes them, and gives you a result (smoothie 🍓). In Python, a function is a named block of reusable code that performs a specific task.

Basic Function Structure

def function_name(parameters):
    # code block

• Parameters are the variables inside the function definition.

• Arguments are the actual values you pass when calling the function.

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Example: Greeting a User

def greet(name):  # Function definition
    print(f"Hello {name}!")

name = input("Enter your name: ")
greet(name)  # Function call with argument

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Returning Values from a Function

Functions aren’t limited to just printing — they can also return values for further processing.

Addition Example

def add(a, b):
    return a + b

result = add(6, 8)
print(f"The sum is: {result}")

Multiplication Example

def multiply(a, b):
    return a * b

print(multiply(23, 10))

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Function Exercises

✅ Square of a Number

def square(num):
    return pow(num, 2)

print(square(6))

➕ Adding Three Numbers

def add(a, b, c):
    return a + b + c

print(add(1, 2, 3))

🔎 Even or Odd Check

def checks_even(number):
    if number % 2 == 0:
        print("The number is even")
    else:
        print("The number is odd")

number = int(input("Enter any number: "))
checks_even(number)

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Combining Strings

def combine_strings(str1, str2):
    return str1 + str2

str1 = input("Enter your name: ")
str2 = input("Enter your profession: ")
combined = combine_strings(str1, str2)
print(f"My name is {str1} and my profession is {str2}")

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Enter Lambda Functions

Lambda functions are small, anonymous functions used when you want a quick, throwaway function — one-liners without the def keyword.

double = lambda x: x * 2
add = lambda a, b: a + b
square = lambda y: y * y

print(double(2))      # Output: 4
print(add(10, 20))    # Output: 30
print(square(8))      # Output: 64

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🎯 Final Thoughts

Functions form the core of any Python program. Learning how to define and use them — especially with return statements and even lambda for quick tasks — really enhances how I structure and reuse code. This is another solid step toward writing cleaner and more efficient Python!