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	<title><![CDATA[BOL: Abhi's files]]></title>
	<link>https://bioinformaticsonline.com/file/owner/abhinav?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/43701/prepare-for-coding-interview</guid>
	<pubDate>Tue, 11 Jan 2022 06:14:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/43701/prepare-for-coding-interview</link>
	<title><![CDATA[Prepare for Coding Interview !]]></title>
	<description><![CDATA[<p><span>This is a comprehensive guide to prepare for your next coding interview. It's great for recent graduates and has questions and practice materials structured from traditional big tech interview formats.</span><br /><br /><span>While it does not include the latest developments in programming since 2019, it nails the core fundamentals in a very comprehensive and accessible way!</span><br /><br /><span>Credits to Kaiyu Zhang, with additional material in the appendix sourced from Reddit.</span></p><p>People say that interviews at Google will cover as much ground as possible. As a new college graduate, the ground that I must capture are the following. Part of the list is borrowed from a reddit post: https://www. reddit.com/r/cscareerquestions/comments/206ajq/my_onsite_interview_experience_at_google/ #bottom-comments.</p><p>1. Data structures</p><p>2. Trees and Graph algorithms</p><p>3. Dynamic Programming</p><p>4. Recursive algorithms</p><p>5. Scheduling algorithms (Greedy)</p><p>6. Caching 1</p><p>7. Sorting</p><p>8. Files</p><p>9. Computability</p><p>10. Bitwise operators</p><p>11. System design</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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