C Program
#include <stdio.h> int isPrime(int n) { if (n < 2) return 0; for (int i = 2; i*i <= n; i++) if (n % i == 0) return 0; return 1; } void printPrimes(int low, int high) { for (int i = low; i <= high; i++) if (isPrime(i)) printf("%d ", i); }
C Output
Input: 10 to 20 Output: 11 13 17 19
C++ Program
#include <iostream> using namespace std; bool isPrime(int n) { if (n < 2) return false; for (int i = 2; i*i <= n; i++) if (n % i == 0) return false; return true; } void printPrimes(int low, int high) { for (int i = low; i <= high; i++) if (isPrime(i)) cout << i << " "; }
C++ Output
Input: 1 to 10 Output: 2 3 5 7
JAVA Program
boolean isPrime(int n) { if (n < 2) return false; for (int i = 2; i*i <= n; i++) if (n % i == 0) return false; return true; } void printPrimes(int low, int high) { for (int i = low; i <= high; i++) if (isPrime(i)) System.out.print(i + " "); }
JAVA Output
Input: 5 to 15 Output: 5 7 11 13
Python Program
def is_prime(n): if n < 2: return False for i in range(2, int(n**0.5)+1): if n % i == 0: return False return True def print_primes(low, high): for i in range(low, high+1): if is_prime(i): print(i, end=' ')
Python Output
Input: 20 to 30 Output: 23 29
In-Depth Explanation
Example
Let's take the range 10 to 20. We test every number:
10 → not prime
11 → prime
12 → not prime
13 → prime
14,15,16,18,20 → not prime
17, 19 → prime
Final output: 11 13 17 19
The trick is testing whether each number has any divisor besides 1 and itself. We improve the test by stopping at the square root of the number.
Real-Life Analogy
Consider prime numbers as VIP party guests. Every guest (number) must pass through a check point (test for divisibility). Any guest with an unofficial point of entry (i.e., can be divided by any number except 1 and itself) is not permitted inside. Only the guests with precisely two points of entry are authentic — that's the prime club!
Another perspective: think of sieving a list of distinct objects (such as unusual coins). If it has no smaller factors (no duplicates, defects, or imperfections), it remains — analogous to primes in number theory.
Why It Matters
Knowing how to recognize and produce prime numbers is important in:
Cryptography (RSA encryption employs large primes)
Hashing and security algorithms
Efficient data structuring
Number theory challenges in mathematics and computer science
It also instructs you on the idea of loop optimization through minimizing unneeded iterations (e.g., up to √n).
What You Learn from This
You learn to:
Write and apply helper functions (isPrime())
Optimize code by applying math knowledge
Manipulate ranges, loops, and conditions
It also lays down a strong foundation for subsequent topics such as:
Sieve of Eratosthenes (for multiple primes)
Prime factorization
Modular arithmetic
This exercise makes you more proficient in thinking in checks and filters, a key problem-solving skill.
Interview Relevance and Actual Projects
This is a super frequent question in entry-level to intermediate interviews. It allows interviewers to assess:
Looping skills
Prime-check logic
Optimization thinking
Follow-up interview assignments can be:
Finding the Nth prime
Printing prime pairs
Optimizing for big ranges using sieve
Real-world applications:
Generating keys for encryption
Checking number properties
Random number generation in game dev
SEO-Optimized Explanation
Printing all the prime numbers in a provided range is a basic algorithm in competitive programming, number theory, and security applications. The program operates by testing each number for divisibility and printing only those which have exactly two different factors — 1 and themselves. This is a very important concept for the understanding of prime-based encryption, secure hashing, and math-intensive algorithms in competitive programming. Learning to identify all primes between two values through C, C++, Java, and Python assists in developing confidence in number reasoning, loop optimization, and mathematical thinking. Whether for preparing coding interview problems or creating core logic, this problem lays the foundation for more complex algorithms in programming.
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