Python Coding challenge - Day 1206| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Importing Decimal

from decimal import Decimal

✅ Explanation

Decimal is imported from Python's decimal module.

It is used for high-precision decimal arithmetic.

Unlike float, Decimal stores decimal numbers exactly, avoiding rounding errors.

Think of it like a scientific calculator that performs very accurate decimal calculations.

Float

↓

Approximate Value

Decimal

↓

Exact Value

🔹 2. Creating the First Decimal Object

x = Decimal("1.10")

✅ Explanation

A Decimal object is created with the value "1.10".

Notice:

"1.10"

is a string, not a float.

Python stores the value exactly as:

1.10

Memory:

x

↓

Decimal('1.10')

🔹 3. Why Use a String?

Decimal("1.10")

✅ Explanation

Using a string prevents floating-point precision errors.

For example:

0.1 + 0.2

Output:

0.30000000000000004

But with Decimal:

Decimal("0.1") + Decimal("0.2")

Output:

0.3

This is why strings are recommended when creating Decimal objects.

🔹 4. Creating the Second Decimal Object

y = Decimal("2.20")

✅ Explanation

Another Decimal object is created.

Memory:

y

↓

Decimal('2.20')

Current memory:

x

↓

1.10

y

↓

2.20

🔹 5. Performing Addition

x + y

✅ Explanation

Python adds the two Decimal values.

Calculation:

1.10

+

2.20

↓

3.30

Unlike float, no precision is lost.

Result:

Decimal('3.30')

🔹 6. Preserving Trailing Zeros

✅ Explanation

One important feature of Decimal is that it preserves trailing zeros.

Example:

1.10

+

2.20

↓

3.30

Notice:

Python prints:

3.30

not

3.3

This is useful in:

Banking

Finance

Accounting

Scientific calculations

where decimal precision matters.

🔹 7. Printing the Result

print(x + y)

✅ Explanation

Python prints the result of the addition.

Output:

3.30

🎯 Final Output

3.30

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