🚀 Day 41 of My Data Analytics Journey !

Today I shifted my focus into Python logical programs to sharpen my problem-solving skills. 💻✨
Here’s what I explored and practiced:

✅ Armstrong Number (Logic + Function)

An Armstrong number is a number that is equal to the sum of its digits each raised to the power of the number of digits.

Steps I learned:

Find the count of digits.
Split the number using % (modulus) and // (floor division).
Raise each digit to the power of count.
Add them together and check if it matches the original number.

def is_armstrong(num):
    count = len(str(num))
    temp = num
    total = 0
    while temp > 0:
        digit = temp % 10
        total += digit ** count
        temp //= 10
    return num == total

print(is_armstrong(153))  # True
print(is_armstrong(123))  # False

✅ Add First N Numbers

n = 10
total = 0
i = 1
while i <= n:
    total += i
    i += 1
print("Sum =", total)  # Sum = 55

✅ Neon Number

A Neon number is a number where the sum of digits of its square is equal to the number itself.

num = 9
sq = num * num
total = 0
while sq > 0:
    total += sq % 10
    sq //= 10
print(total == num)  # True (Neon number)

✅ Strong Number

A Strong number is one in which the sum of the factorial of its digits is equal to the number itself.

def factorial(n):
    f = 1
    while n > 0:
        f *= n
        n -= 1
    return f

num = 145
temp = num
total = 0
while temp > 0:
    digit = temp % 10
    total += factorial(digit)
    temp //= 10
print(total == num)  # True

✅ What is a Function?

A function is a block of reusable code.
Helps in writing clean, structured programs.
Saves time (no repeating same logic everywhere).

👉 I also learned how to wrap the Armstrong program inside a function for reusability.

💡 Every day I’m realizing that these logical exercises are improving my coding confidence, which will definitely help in Data Analytics for writing efficient scripts