🚀 Day 19/150 – Area of a Rectangle in Python

Calculating the area of a rectangle is one of the simplest and most important beginner problems in programming.

👉 Formula:
Area = Length × Width

In this blog, we’ll explore multiple ways to calculate the area of a rectangle using Python, along with clear explanations.

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🔹 Method 1 – Direct Calculation

The most basic approach using fixed values.

length = 10
width = 5

area = length * width

print("Area of rectangle:", area)

✅ Explanation:

• We directly multiply length and width
  
• For 10 × 5 = 50

👉 Best for understanding the core concept.

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🔹 Method 2 – Taking User Input

Make your program dynamic and interactive.

length = float(input("Enter length: "))
width = float(input("Enter width: "))

area = length * width

print("Area of rectangle:", area)

✅ Explanation:

• input() takes user values
• float() allows decimal inputs

👉 Useful for real-world applications.

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🔹 Method 3 – Using a Function

Reusable and structured approach.

def rectangle_area(l, w): return l * w print(rectangle_area(10, 5))

✅ Explanation:

• Function takes length and width
  
• Returns the calculated area

👉 Best for clean and maintainable code.

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🔹 Method 4 – Using Lambda Function

Short and quick one-liner function.

area = lambda l, w: l * w

print(area(10, 5))

✅ Explanation:

• lambda creates an anonymous function
• Useful for small, simple operations

👉 Great for concise coding.

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🔹 Method 5 – Using Tuple Input

Handling multiple values together.

dimensions = (10, 5) area = dimensions[0] * dimensions[1] print("Area:", area)

✅ Explanation:

• Tuple stores (length, width)
• Access values using indexing [0] and [1]
  
  

👉 Useful when working with grouped data.

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⚡ Key Takeaways

• ✔ length * width is the core logic
• ✔ Use float() for accurate inputs
• ✔ Functions improve reusability
• ✔ Lambda simplifies small operations
• ✔ Tuples help manage grouped values

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🎯 Final Thoughts

This simple problem helps you understand:

• Variables and arithmetic operations
• User input handling
• Writing reusable functions
• Clean and efficient coding

Mastering these basics will strengthen your Python foundation.