Does Python Have a Trie Data Structure?


Scott Campbell

Python does not have a built-in trie data structure. However, it is possible to implement a trie in Python using the available data structures and functionalities. In this article, we will explore what a trie data structure is and how we can create one in Python.

What is a Trie Data Structure?

A trie, also known as a prefix tree, is a tree-like data structure used for efficient retrieval of keys in a large set of strings. It is especially useful when we need to search for words or prefixes in dictionaries or when dealing with problems related to auto-completion or spell-checking.

A trie has the following characteristics:

  • Root Node: The topmost node of the trie, which has no parent.
  • Child Nodes: Each node can have multiple child nodes representing different characters.
  • Edges: Edges connect the nodes and represent the characters.
  • Leaf Nodes: Nodes that mark the end of a word or string.

Implementing a Trie in Python

To implement a trie in Python, we can use dictionaries as nodes and nested dictionaries to represent child nodes. Here’s an example implementation:

<!-- Add code block styling -->

<pre><code class="python"># Define TrieNode class
class TrieNode:
    def __init__(self):
        self.children = {}
        self.is_end_of_word = False

# Define Trie class
class Trie:
    def __init__(self):
        self.root = TrieNode()

    def insert(self, word):
        current_node = self.root
        for char in word:
            if char not in current_node.children:
                current_node.children[char] = TrieNode()
            current_node = current_node.children[char]
        current_node.is_end_of_word = True

    def search(self, word):
        current_node = self.children:
                return False
            current_node = current_node.children[char]
        return current_node.is_end_of_word

# Create a trie and test it
trie = Trie()


print("apple"))  # Output: True
print("banana"))  # Output: True
print("orange"))  # Output: True
print("grape"))  # Output: False</code></pre>

In the above example, we define two classes: TrieNode and Trie. The TrieNode class represents a node in the trie, while the Trie class provides methods to insert and search words.

The insert method inserts a word into the trie by iterating through each character of the word and creating new nodes as necessary. The last node of each word is marked as an end-of-word node.

The search method searches for a given word in the trie by traversing through each character of the word. If all characters are found and the last node is marked as an end-of-word node, it returns true; otherwise, it returns false.


In this article, we explored the concept of a trie data structure and learned how to implement a trie in Python. While Python does not have a built-in trie data structure, we can create one using dictionaries and nested dictionaries.

Tries are particularly useful when dealing with large sets of strings and efficient retrieval of keys. By implementing a trie, we can improve the performance of operations such as searching for words or prefixes in dictionaries.

By using the appropriate HTML styling elements like bold text, underlined text,

    unordered lists

, and

  • list items
  • , we can make the article visually engaging and organized.

    Discord Server - Web Server - Private Server - DNS Server - Object-Oriented Programming - Scripting - Data Types - Data Structures

    Privacy Policy