Maths Algorithms in Python Without Libraries (No math, pandas, or matplotlib)

In today's blog, we'll explore how to implement fundamental math algorithms in Python without using any external libraries like math, pandas, or matplotlib.

This kind of practice helps sharpen your core algorithmic thinking and improves your confidence when solving coding problems, especially in interviews or constrained environments.

Problem One: Check for Perfect Square

Task:


You are given an integer n. Your goal is to determine if n is a perfect square.

A perfect square is a number that is the product of an integer with itself. For example:

• ✅ 1 = 1 × 1
  


• ✅ 4 = 2 × 2
  


• ✅ 9 = 3 × 3
  


• ❌ 2, 3, 5 are not perfect squares

✅ Approach:

1. Handle edge cases:
   
   
   
   
   • If n < 0, it's not a perfect square.
   
   
   • If n is 0 or 1, it's automatically a perfect square.
   
   
   
   


2. Loop from 1 to n // 2 and check:
   
   
   
   
   • If i * i == n, return True.
   
   
   • If i * i > n, stop early and return False.
   
   
   
   

Code:

def is_perfect_square(n):

    if n < 0:

        return False

    if n == 0 or n == 1:

        return True



    for i in range(1, n // 2 + 1):

        if i * i == n:

            return True

        elif i * i > n:

            break



    return False

Problem Two: Find the Next Prime Number

Task:


Write a function next_prime(n) that returns the smallest prime number strictly greater than n.

A prime number is only divisible by 1 and itself (e.g., 2, 3, 5, 7, 11...).

Approach:

1. Create a helper function is_prime(num):
   
   
   
   
   • Return False if num < 2.
   
   
   • Check divisibility from 2 to √num.
   
   
   
   


2. In the next_prime function:
   
   
   
   
   • Start from n + 1.
   
   
   • Keep incrementing until you find a number where is_prime() returns True.
   
   
   
   

Code:

def is_prime(num):

    if num < 2:

        return False

    for i in range(2, int(num**0.5) + 1):

        if num % i == 0:

            return False

    return True



def next_prime(n):

    next_p = n + 1

    while True:

        if is_prime(next_p):

            return next_p

        next_p += 1

Practicing these foundational problems without built-in tools builds your problem-solving muscles and makes you a more versatile developer.