<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bfs on Algorithms in 60 Days</title><link>https://algorithmsin60days.com/tags/bfs/</link><description>Recent content in Bfs 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/bfs/index.xml" rel="self" type="application/rss+xml"/><item><title>Graph Algorithms You Must Know for FAANG Interviews</title><link>https://algorithmsin60days.com/topics/graphs/</link><pubDate>Mon, 06 Jul 2026 09:00:00 +0500</pubDate><guid>https://algorithmsin60days.com/topics/graphs/</guid><description>&lt;p&gt;Graphs are the topic that most reliably separates prepared candidates from unprepared ones. Arrays and hash maps you can wing on general programming instinct; graph problems punish improvisation. And they&amp;rsquo;re everywhere in FAANG loops (course schedules, word ladders, islands, network delays, account merging) because real systems at these companies &lt;em&gt;are&lt;/em&gt; graphs: social networks, service dependencies, road maps, build systems.&lt;/p&gt;
&lt;p&gt;The good news: interview graph questions draw from a small, learnable core. Two traversals, three shortest-path algorithms, and about five recurring patterns cover the vast majority of what you&amp;rsquo;ll face. This page is the map of that territory: what to learn, in what order, with Python code for the essentials and links to the full day-by-day lessons in the &lt;a href="https://algorithmsin60days.com/curriculum/"&gt;60-day curriculum&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>