My Brain after 569 Leetcode Problems
NeetCode
7 min, 50 sec
The speaker discusses their experience with LeetCode, their progression, and tips for effective practice.
Summary
- Began with easy questions and C++ but later switched to Python due to its concise syntax.
- Learned the importance of solving problems in a specific order to build upon knowledge progressively.
- Advised against spending too much time on a single problem and recommended looking at solutions after a reasonable attempt.
- Emphasized understanding each problem deeply and reviewing them regularly.
- Shared insights on how LeetCode preparation can help in tech interviews and in thinking about edge cases in development.
Chapter 1
The speaker introduces their LeetCode journey and the various stages of their preparation.
- Started solving LeetCode problems while unemployed and eventually got a job offer from Google.
- Struggled with easy problems initially and was not familiar with advanced algorithms or data structures.
- After solving around 50 problems, got an internship at a bank.
Chapter 2
The speaker discusses the switch from C++ to Python and the lessons learned from early mistakes.
- Switched to Python after noticing it was favored in the LeetCode community for its brevity.
- Learned basic Python syntax and data structures through solving LeetCode problems and Googling as needed.
- Realized the importance of the order in which problems are solved.
Chapter 3
The speaker refines their problem-solving strategy and shares tips on how to approach problems effectively.
- Adopted a more structured approach to solving problems to understand algorithms like DFS, BFS, and backtracking.
- Stopped spending excessive time on problems and started looking at solutions to learn the underlying tricks.
Chapter 4
The speaker achieves a high level of proficiency and shares insights on the patterns behind LeetCode problems.
- Realized most medium problems require applying known algorithms, while hard problems often have a unique trick.
- Was able to solve a large number of problems efficiently, recognizing common patterns in algorithms.
Chapter 5
The speaker assesses their readiness for tech interviews and continues to practice beyond the necessity.
- Discusses the uncertainty of feeling fully prepared for interviews and suggests a benchmark for interview readiness.
- Continued to solve LeetCode problems even after receiving a Google offer, highlighting the law of diminishing returns.
Chapter 6
The speaker reflects on the value of LeetCode and mentions a sponsorship that aligns with career growth.
- Argues that LeetCode practice can lead to significant compensation increases and improve thinking around edge cases.
- Mentions Taro, a Y Combinator-backed platform for tech career growth, offering a discount code.
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