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LeetCode for Facebook Interviews: My Proven Prep Strategy

Summary

Quick Abstract

Ace your coding interviews! This summary provides actionable tips for efficient LeetCode preparation, drawn from the experience of a software engineer joining Facebook. Learn how to structure your study plan, prioritize question difficulty and topics, and maximize learning from each problem.

Quick Takeaways:

  • Master basic data structures and their time complexities before diving into LeetCode.

  • Focus primarily on medium-difficulty questions to build generalizable problem-solving skills. Hard questions can sometimes be too specific.

  • Strategically tackle questions by topic: arrays/strings, dynamic programming, trees/graphs, and more, dedicating extra time to your weaker areas like recursion.

  • Utilize company tags (premium) or free alternatives like the "Discuss" page to target specific companies.

  • When stuck, analyze the naive solution, identify bottlenecks, and learn from solutions instead of wasting hours.

  • Implement solutions yourself to solidify understanding.

Effectively Preparing for Coding Interviews

This article provides practical tips for effectively preparing for coding interviews, focusing on using LeetCode efficiently. The advice comes from an experienced software engineer who recently accepted an offer from Facebook.

Mastering Basic Data Structures

The Importance of Foundational Knowledge

Before diving into LeetCode, ensure you have a solid understanding of basic data structures. This includes knowing how they work, the operations they support, and the time complexity of those operations.

  • Even experienced engineers should review these fundamentals.

  • Interview questions often probe into lower-level implementation details.

  • A quick 10-minute review can prevent time-wasting mistakes during the interview.

Structuring Your LeetCode Practice

Difficulty Level

When using LeetCode, a structured approach is essential. Begin by considering the difficulty level of each question: easy, medium, or hard.

  • Start with easy questions to build a foundation.

  • Spend the majority of your time on medium-level questions.

  • Incorporate hard questions sparingly, focusing on those that seem popular.

Why Prioritize Medium-Level Questions

Hard questions are often less effective for learning generalizable problem-solving techniques. The goal is to learn methods applicable to various unfamiliar questions.

  • Many hard questions rely on specific tricks or algorithms with limited applicability.

  • Focus on mastering techniques that can be applied across different problems.

Topic Coverage

Consider the topics covered by each question. Practice a few questions in each of the following areas:

  • Arrays and Strings

  • Dynamic Programming

  • Trees and Graphs

  • Binary Search

  • Design

  • Heaps

  • Recursion

Addressing Weaknesses

Focus on the topics you find most challenging. Deliberate practice in these areas will lead to significant improvement.

  • Devote time to less common topics like backtracking, linked lists, union find, and tries.

  • Doing at least one question from each of these less common topics can prevent being caught off guard.

Utilizing LeetCode Features

Company Tags (Premium)

LeetCode's premium version offers company tags, allowing you to filter questions asked at specific companies. This provides insights into what to expect from interviews at those companies.

  • A free alternative is searching the company name in the "Discuss" section.

  • Users often share their real interview experiences in the discussion forums.

Sorting by Frequency (Premium)

Another valuable premium feature is sorting questions by frequency. This shows how often questions have been asked in real interviews.

  • A high-frequency question indicates that it effectively measures a candidate's skills.

  • The methods used to solve these questions are likely to be useful in real interviews.

  • A free alternative is to consider the likes and dislikes count, avoiding questions with significantly more dislikes than likes.

Approaching Coding Problems

The Naive Solution

When solving a coding problem, start by considering the naive solution: how you would solve it with unlimited time and space.

  • This provides a baseline for understanding the problem's complexity.

  • It can also hint at potential optimization techniques.

Small Examples and Corner Cases

Solve the problem using small examples to identify patterns and generalize rules.

  • Test your ideas with challenging inputs and corner cases.

  • Avoid trivial examples that don't adequately test your solution.

Knowing When to Seek Help

If you're stuck after about half an hour, don't spend too long struggling.

  • Read the solution or watch a video explanation, ensuring you fully understand it.

  • Implement and submit the solution yourself to solidify your understanding.

  • Reflect on what you missed that could have helped you solve the question independently.

Final Thoughts

Remember that coding interviews are challenging for everyone. Be patient with yourself and persistent in your preparation. Consistent effort will lead to improvement and success.

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