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<h3 class="text-xl font-semibold text-gray-800">Binary Search</h3>
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Efficient O(log n) search algorithm that works on sorted arrays by repeatedly dividing the search interval in half.
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<pre class="text-green-400 code-block"><code>function binarySearch(arr, target) {
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Divide-and-conquer algorithm with O(n log n) time complexity that recursively splits, sorts, and merges subarrays.
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<pre class="text-green-400 code-block"><code>function mergeSort(arr) {
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const mid = Math.floor(arr.length / 2);
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<span class="text-sm text-gray-500">Time Complexity: O(n log n)</span>
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Use meaningful variable names, consistent indentation, and comments where necessary. Break complex operations into smaller functions.
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Choose appropriate data structures and algorithms. Consider time and space complexity. Avoid unnecessary computations.
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<h3 class="text-xl font-semibold mb-3 text-gray-800">Scalability</h3>
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Design systems that can grow. Use modular architecture, avoid tight coupling, and plan for future requirements.
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