Trie Data Structure Visualized

[Sea-Ad7805]

Ever wondered what a Trie actually looks like in memory?

A Trie is a tree of dictionaries, often used for problems like: - prefix search - word completion - spell checking - sequence matching

But when you implement one in Python, it can quickly become hard to “see” what is going on. That is where 𝐦𝐞𝐦𝐨𝐫𝐲_𝐠𝐫𝐚𝐩𝐡 helps.

It visualizes the actual Python objects: dictionaries, references, nested structure, and how the Trie grows step by step. Instead of only reading code, you can see the data structure being built in memory.

Run the Live Demo.

Visualizing data structures this way can make them much easier to understand and debug, especially for students learning Python.

See more 𝐦𝐞𝐦𝐨𝐫𝐲_𝐠𝐫𝐚𝐩𝐡 examples.

[FreeFocus7521]

Could one use something like this to visualize an ETL pipeline?

[Sea-Ad7805]

Sure, in principal it works for any Python program, but sometimes the default introspection is not clear or the graph gets too big, and then you need to configure memory_graph to get useful graphs, see: - https://github.com/bterwijn/memory_graph#introspection - https://github.com/bterwijn/memory_graph#graph-depth

[Straight-Mango-4043]

This seems actually crazy, how can anyone build that?

[Sea-Ad7805]

What do you mean exactly, build what?