Problem Solving with DSA

Problem-solving lies at the heart of developing efficient and scalable software solutions. As a senior engineer with a background in machine learning and 7 years of experience in full-stack development, you've likely encountered numerous real-world problems that require applying data structures and algorithms.

Data structures and algorithms provide a systematic approach to problem-solving by organizing and manipulating data effectively. They offer various techniques and patterns to optimize the performance of your code.

For example, let's consider the classic FizzBuzz problem. In this problem, you need to print numbers from 1 to 100, replacing multiples of 3 with 'Fizz' and multiples of 5 with 'Buzz'. All other numbers should be printed as is. Here's an example of how you can implement the solution in Java:

1class Main {
2  public static void main(String[] args) {
3    // replace with your Java logic here
4    for(int i = 1; i <= 100; i++) {
5      if(i % 3 == 0 && i % 5 == 0) {
6          System.out.println("FizzBuzz");
7      } else if(i % 3 == 0) {
8          System.out.println("Fizz");
9      } else if(i % 5 == 0) {
10          System.out.println("Buzz");
11      } else {
12          System.out.println(i);
13      }
14    }
15  }
16}

By understanding and applying data structures and algorithms, you can efficiently solve problems and optimize your code for performance, making you a more effective developer in both your machine learning projects and full-stack development endeavors.

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class Main {

  public static void main(String[] args) {

    // replace with your Java logic here

    for(int i = 1; i <= 100; i++) {

      if(i % 3 == 0 && i % 5 == 0) {

          System.out.println("FizzBuzz");

      } else if(i % 3 == 0) {

          System.out.println("Fizz");

      } else if(i % 5 == 0) {

          System.out.println("Buzz");

      } else {

          System.out.println(i);

      }

    }    

  }

}