• March 17, 2025

How to Get Good at Leetcode?

LeetCode is one of the best platforms for improving problem-solving skills and preparing for technical interviews. However, mastering it requires a structured approach, consistent practice, and the right mindset.


1. Set Clear Goals

Before you start solving problems, define your objectives:
โœ… Are you preparing for a job interview? โ€“ Focus on company-tagged questions.
โœ… Do you want to improve problem-solving skills? โ€“ Solve a variety of problems across categories.
โœ… Are you aiming for competitive programming? โ€“ Work on dynamic programming, graph theory, and recursion.


2. Learn the Basics First

Before jumping into LeetCode, ensure you understand the fundamental concepts:

๐Ÿ”น Data Structures:
โœ” Arrays & Strings
โœ” Linked Lists
โœ” Stacks & Queues
โœ” HashMaps & HashSets
โœ” Trees & Graphs
โœ” Heaps & Priority Queues
โœ” Tries

๐Ÿ”น Algorithms:
โœ” Sorting (Merge Sort, Quick Sort, Counting Sort)
โœ” Recursion & Backtracking
โœ” Binary Search
โœ” Breadth-First Search (BFS) & Depth-First Search (DFS)
โœ” Dynamic Programming (DP)
โœ” Greedy Algorithms
โœ” Bit Manipulation

๐Ÿ’ก How to learn these?

  • Take an Algorithms and Data Structures course (CS50, MIT OCW, Udemy).
  • Read “Grokking Algorithms” or “Cracking the Coding Interview”.
  • Implement common data structures from scratch.

3. Follow a Structured LeetCode Plan

Don’t randomly pick problems. Follow a systematic roadmap like this:

Step 1: Easy Problems (50-100 Problems) โ€“ 1-2 Months

Start with easy problems to build confidence and master the basics.

  • Arrays & Strings: Two Sum, Best Time to Buy and Sell Stock, Valid Parentheses.
  • Linked Lists: Reverse Linked List, Merge Two Sorted Lists.
  • HashMaps & Sets: Contains Duplicate, Intersection of Two Arrays.

๐Ÿ”น Goal: Solve at least 50-100 easy problems before moving to medium ones.


Step 2: Medium Problems (100-200 Problems) โ€“ 2-4 Months

Once comfortable, move to medium problems.

  • Sliding Window: Longest Substring Without Repeating Characters.
  • Binary Search: Search in Rotated Sorted Array.
  • Recursion & Backtracking: Permutations, Subsets.
  • Dynamic Programming: Climbing Stairs, House Robber.

๐Ÿ”น Goal: Solve at least 100+ medium problems and understand patterns.


Step 3: Hard Problems (50-100 Problems) โ€“ 3-6 Months

After mastering medium problems, start tackling hard problems.

  • Graphs & Trees: Word Ladder, Shortest Path in Weighted Graph.
  • Dynamic Programming: Edit Distance, Longest Increasing Subsequence.
  • Advanced Algorithms: Dijkstraโ€™s Algorithm, Segment Trees.

๐Ÿ”น Goal: Solve 50-100 hard problems, especially company-specific ones.


4. Learn Problem-Solving Patterns

Many problems follow common patterns. Mastering these will help you recognize problems instantly.

Common Patterns in LeetCode Problems:

โœ” Sliding Window โ€“ “Find the longest/shortest subarrayโ€ฆ”
โœ” Two Pointers โ€“ “Find a pair that sums to Xโ€ฆ”
โœ” Fast & Slow Pointers โ€“ “Detect cycles in a linked listโ€ฆ”
โœ” Merge Intervals โ€“ “Find overlapping intervalsโ€ฆ”
โœ” Backtracking โ€“ “Find all possible combinationsโ€ฆ”
โœ” Dynamic Programming (DP) โ€“ “Find the number of ways toโ€ฆ”
โœ” Binary Search โ€“ “Find an element in a sorted arrayโ€ฆ”

๐Ÿ”น How to practice?

  • Neetcode’s YouTube channel explains these patterns in detail.
  • Blind 75 (top 75 essential LeetCode problems) is a great starting point.
  • LeetCodeโ€™s Explore section has structured guides.

5. Learn to Debug and Optimize

๐Ÿ”น Common debugging techniques:

  • Print variables at key points in your code.
  • Use Python Tutor to visualize your code execution.
  • Dry run your solution with a small input set.

๐Ÿ”น Optimization tips:

  • Think about time and space complexity using Big-O notation.
  • If a brute-force solution is O(Nยฒ), try O(N log N) or O(N).
  • Use memoization to improve recursion.

6. Practice Consistently (Daily or Weekly Schedule)

Consistency is key to improving on LeetCode. Hereโ€™s a suggested schedule:

โœ” 1-2 problems per day (1-2 hours) โ€“ For gradual improvement.
โœ” 5-10 problems per week โ€“ For steady growth.
โœ” 30+ problems per week โ€“ If you’re aggressively preparing for interviews.

๐Ÿ”น Set realistic goals โ€“ Donโ€™t burn out by overdoing it.


7. Study Solutions & Read Discussions

If youโ€™re stuck on a problem, donโ€™t just look at the solution immediately. Instead:

  • Think about edge cases and try different approaches.
  • If stuck for more than 30-45 minutes, check LeetCode discussions for hints.
  • Study multiple solutions โ€“ brute force, optimized, and best approach.

๐Ÿ’ก Tip: Explain your solution out loud (rubber duck debugging) to reinforce learning.


8. Join LeetCode Contests & Community

๐Ÿ”น Why? Competing improves speed and accuracy.

  • LeetCode offers biweekly & weekly contests.
  • Discuss problems in the LeetCode forum.
  • Join Discord communities or Redditโ€™s r/leetcode.

9. Focus on Company-Specific Questions

If preparing for interviews, prioritize company-tagged questions:
โœ” Amazon, Google, Microsoft โ€“ Trees, Graphs, Dynamic Programming.
โœ” Facebook, Uber, Airbnb โ€“ Backtracking, Sliding Window, System Design.
โœ” Tesla, Palantir โ€“ Bit Manipulation, Greedy, DP.

๐Ÿ”น Use LeetCodeโ€™s premium version for curated company problems.


10. Track Progress & Stay Motivated

๐Ÿ“Š Use a progress tracker like:

  • LeetCode Streak
  • Notion or Google Sheets
  • LeetCode Daily Challenge

๐ŸŽฏ Set milestones like:
โœ… Solving 50 easy problems โ†’ 100 medium problems โ†’ 50 hard problems.
โœ… Solving 300+ problems before an interview.

๐Ÿš€ Stay consistent and enjoy the learning process!


Final Verdict: How Long Does It Take to Get Good at LeetCode?

  • Beginner (0-50 problems): 1-2 months
  • Intermediate (100-300 problems): 3-6 months
  • Advanced (500+ problems): 6-12 months

๐Ÿ’ก The key to success? Practice smart, not just hard! Start with easy problems, learn patterns, and consistently solve problems.

Want a personalized roadmap? Let me know your level, and Iโ€™ll create one for you! ๐Ÿš€

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