<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cheatsheet on Algorithms in 60 Days</title><link>https://algorithmsin60days.com/tags/cheatsheet/</link><description>Recent content in Cheatsheet on Algorithms in 60 Days</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 10:00:00 +0500</lastBuildDate><atom:link href="https://algorithmsin60days.com/tags/cheatsheet/index.xml" rel="self" type="application/rss+xml"/><item><title>The Data Structures Cheatsheet: Time &amp; Space Complexity for Every Structure You Need</title><link>https://algorithmsin60days.com/blog/data-structures-cheatsheet/</link><pubDate>Mon, 06 Jul 2026 10:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/blog/data-structures-cheatsheet/</guid><description>&lt;h1 id="the-data-structures-cheatsheet-time--space-complexity-for-every-structure-you-need"&gt;
 &lt;a class="header-anchor" href="#the-data-structures-cheatsheet-time--space-complexity-for-every-structure-you-need"&gt;The Data Structures Cheatsheet: Time &amp;amp; Space Complexity for Every Structure You Need&lt;/a&gt;
&lt;/h1&gt;
&lt;p&gt;Bookmark this page. Whether you&amp;rsquo;re cramming the night before a FAANG interview or just need to double-check whether deleting from a heap is O(log n) or O(n), this cheatsheet covers the ten data structures that account for nearly every coding interview question: &lt;strong&gt;arrays, linked lists, stacks, queues, hash maps, sets, trees, heaps, graphs, and tries&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;For each structure you&amp;rsquo;ll find the time complexity of the core operations (average and worst case), space complexity, a minimal Python snippet, and the situations where it&amp;rsquo;s the right tool. Every section links to the full lesson in our &lt;a href="https://algorithmsin60days.com/curriculum/"&gt;60-day curriculum&lt;/a&gt; if you want to go deeper.&lt;/p&gt;</description></item></channel></rss>