<ul><li>LeetCode 135 - Candy problem involves distributing candies to children based on their ratings in a line, following certain rules.</li><li>The problem requires each child to receive at least one candy and a child with a higher rating than adjacent child gets more.</li><li>Two strategies discussed in the guide are a naive two-pass greedy approach and an optimized greedy algorithm.</li><li>The optimized greedy solution reduces space complexity from O(n) to O(1) by tracking peaks, valleys, and previous candies given.</li><li>Code implementations provided in C++, JavaScript, and Python demonstrate the optimized approach.</li><li>Test cases cover various scenarios to validate the correctness of the implemented solutions.</li><li>Key takeaways include understanding the intuition behind both approaches and the significance of optimizing space for large datasets.</li><li>Overall, mastering this problem helps in grasping greedy algorithms and efficient space utilization in coding interviews and DSA practice.</li></ul>

🧒🍬 Beginner-Friendly Guide to Solving "Distribute Candies Among Children" | LeetCode 135 Explained (C++ | JavaScript | Python)

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