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Unwind is essentially correct that there are many different ways to implement a trie; and for a large, scalable trie, nested dictionaries might become cumbersome -- or at least space inefficient. But since you're just getting started, I think that's the easiest approach; you could code up a simple trie in just a few lines. First, a function to construct the trie:
Are the trie and radix trie data structures the same thing? If they aren't the same, then what is the meaning of radix trie (AKA Patricia trie)?
algorithm - What is the difference between trie and radix trie data ...
A Trie is a kind of tree, known by many names including prefix tree, digital search tree, and retrieval tree (hence the name 'trie'). Each kind of tree has a different purpose, structure and behaviour.
This is what I suspected.The trie is used to build the suffix tree and that is why most textbooks only provide code for tries.But this is the worst-case implementation eh?
As the other examples have said, a trie is useful because it provides fast string look-ups (or, more generally, look-ups for any sequence). Some examples of where I've used tries: My answer to this question uses a (slightly modified) trie for matching sentences: it is a trie based on a sequence of words, rather than a sequence of characters. (The other answers to that question probably ...