<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tries on Algorithms in 60 Days</title><link>https://algorithmsin60days.com/tags/tries/</link><description>Recent content in Tries on Algorithms in 60 Days</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 09:00:00 +0500</lastBuildDate><atom:link href="https://algorithmsin60days.com/tags/tries/index.xml" rel="self" type="application/rss+xml"/><item><title>Tries Explained Simply (With Real Interview Problems)</title><link>https://algorithmsin60days.com/blog/trie-data-structure-interview/</link><pubDate>Mon, 06 Jul 2026 09:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/blog/trie-data-structure-interview/</guid><description>&lt;h1 id="tries-explained-simply-with-real-interview-problems"&gt;
 &lt;a class="header-anchor" href="#tries-explained-simply-with-real-interview-problems"&gt;Tries Explained Simply (With Real Interview Problems)&lt;/a&gt;
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&lt;p&gt;Every time your phone suggests &amp;ldquo;birthday&amp;rdquo; after you type &amp;ldquo;birt&amp;rdquo;, a trie (or one of its descendants) is doing the work. The trie — also called a &lt;strong&gt;prefix tree&lt;/strong&gt; — is the data structure interviewers reach for when they want to test whether you can go beyond hash maps, and it anchors several famous problems: autocomplete, Word Search II, and Longest Word in Dictionary.&lt;/p&gt;</description></item></channel></rss>