<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interview-Prep on Algorithms in 60 Days</title><link>https://algorithmsin60days.com/tags/interview-prep/</link><description>Recent content in Interview-Prep on Algorithms in 60 Days</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 11:00:00 +0500</lastBuildDate><atom:link href="https://algorithmsin60days.com/tags/interview-prep/index.xml" rel="self" type="application/rss+xml"/><item><title>The Best FAANG Interview Prep Resources in 2026 (Free + Paid)</title><link>https://algorithmsin60days.com/blog/best-faang-interview-prep-resources-2026/</link><pubDate>Mon, 06 Jul 2026 11:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/blog/best-faang-interview-prep-resources-2026/</guid><description>&lt;p&gt;There are more coding interview resources in 2026 than there are interview questions. That&amp;rsquo;s the problem. Most candidates don&amp;rsquo;t fail because they picked a bad resource — they fail because they bounced between six good ones and finished none.&lt;/p&gt;
&lt;p&gt;This is a tiered, opinionated guide: what&amp;rsquo;s genuinely worth your time, what&amp;rsquo;s worth your money, and what&amp;rsquo;s worth skipping. We run a prep site ourselves, so take our self-mention with the grain of salt it deserves — we&amp;rsquo;ve marked it clearly and we&amp;rsquo;ll tell you exactly where competitors are better.&lt;/p&gt;</description></item><item><title>Binary Search: Not Just for Sorted Arrays</title><link>https://algorithmsin60days.com/blog/binary-search-interview-patterns/</link><pubDate>Mon, 06 Jul 2026 10:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/blog/binary-search-interview-patterns/</guid><description>&lt;p&gt;Ask most candidates what binary search is for, and you&amp;rsquo;ll get the same answer: &amp;ldquo;finding an element in a sorted array.&amp;rdquo; That answer is technically correct and strategically wrong — and it&amp;rsquo;s why binary search interview problems have such a brutal failure rate.&lt;/p&gt;
&lt;p&gt;Here&amp;rsquo;s the reframe that changes everything: &lt;strong&gt;binary search is a technique for shrinking a search space in half whenever you can answer one yes/no question about the middle.&lt;/strong&gt; The sorted array is just the most famous search space. Once you see it this way, problems like &amp;ldquo;minimum eating speed&amp;rdquo; and &amp;ldquo;split an array to minimize the largest sum&amp;rdquo; stop looking like exotic puzzles and start looking like the same 15 lines of code.&lt;/p&gt;</description></item><item><title>Recursion for Interviews: Think Before You Code</title><link>https://algorithmsin60days.com/blog/recursion-interview-explained/</link><pubDate>Mon, 06 Jul 2026 09:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/blog/recursion-interview-explained/</guid><description>&lt;p&gt;Recursion problems have a peculiar failure mode in interviews. Candidates don&amp;rsquo;t run out of knowledge — they run out of working memory. They start tracing calls: &amp;ldquo;so f(4) calls f(3), which calls f(2), which calls f(1)…&amp;rdquo; and three levels deep, the whiteboard is a spiderweb and the interviewer is checking the clock.&lt;/p&gt;
&lt;p&gt;Here&amp;rsquo;s the uncomfortable truth: &lt;strong&gt;if you&amp;rsquo;re mentally simulating the call stack, you&amp;rsquo;re doing it wrong.&lt;/strong&gt; The entire point of recursion is that you &lt;em&gt;don&amp;rsquo;t&lt;/em&gt; trace it. This post gives you the mental model that makes tracing unnecessary, then applies it to five real interview problems in Python.&lt;/p&gt;</description></item></channel></rss>