How to Implement Trie (Prefix Tree) - Blind 75 LeetCode Questions

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-implement-trie-prefix-tree-blind-75-leetcode-questions. A trie (pronounced as “try”) or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #leetcode, #data-structures, #computer-science, #tech, #programming, #learn-programming, #programming-tips, #competitive-coding, #hackernoon-es, and more. This story was written by: @rakhmedovrs. Learn more about this writer by checking @rakhmedovrs's about page, and for more stories, please visit hackernoon.com. Trie is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker. The Trie data structure is the classic data structure that is widely used in text searching. We need to implement Trie with the following method: Trie() and Trie.insert(). In the real example of Trie we had to introduce a small part of the data structure which consists of smaller pieces called **Tree. nodes.