Coding Excellence Showcase

Demonstrating clean, efficient, and scalable code with modern best practices

Algorithm Showcase

Binary Search

Efficient O(log n) search algorithm that works on sorted arrays by repeatedly dividing the search interval in half. 

function binarySearch(arr, target) {
    let left = 0;
    let right = arr.length - 1;

    while (left <= right) {
        const mid = Math.floor((left + right) / 2);
        
        if (arr[mid] === target) return mid;
        if (arr[mid] < target) left = mid + 1;
        else right = mid - 1;
    }
    
    return -1; // Not found
}
Time Complexity: O(log n)

Merge Sort

Divide-and-conquer algorithm with O(n log n) time complexity that recursively splits, sorts, and merges subarrays. 

function mergeSort(arr) {
    if (arr.length <= 1) return arr;
    
    const mid = Math.floor(arr.length / 2);
    const left = mergeSort(arr.slice(0, mid));
    const right = mergeSort(arr.slice(mid));
    
    return merge(left, right);
}

function merge(left, right) {
    let result = [];
    let i = 0, j = 0;
    
    while (i < left.length && j < right.length) {
        if (left[i] < right[j]) result.push(left[i++]);
        else result.push(right[j++]);
    }
    
    return result.concat(left.slice(i)).concat(right.slice(j));
}
Time Complexity: O(n log n)

Coding Best Practices

Readable Code

Use meaningful variable names, consistent indentation, and comments where necessary. Break complex operations into smaller functions.

Efficiency

Choose appropriate data structures and algorithms. Consider time and space complexity. Avoid unnecessary computations.

Scalability

Design systems that can grow. Use modular architecture, avoid tight coupling, and plan for future requirements.