LeetCode 208: Implement Trie Prefix Tree — Step-by-Step Visual Trace

1. 1Implement a TrieNode class to represent each node in the Trie
2. 2Create a Trie class with methods for inserting words, searching for complete words, and checking prefixes
3. 3Use a dictionary to store child nodes in each TrieNode for efficient lookup
4. 4Test the Trie implementation with example words and prefixes to ensure correctness

Software engineers and data scientists can benefit from this implementation to improve their coding skills and data storage efficiency, especially when working with large datasets or autocomplete features

💡 Tries are ideal for autocomplete and prefix matching tasks due to their efficient storage and retrieval of words with common prefixes

📚 Implement a Trie data structure to efficiently store and retrieve words with prefix matching! 💻