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48 my leetcode journey

48 my leetcode journey

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My LeetCode Journey - 314+ Problems Solved

i've been solving leetcode problems for quite some time now, and i'm excited to share my journey with you. as of now, i've solved 314+ problems across various difficulty levels and categories. this post is a comprehensive overview of my leetcode experience, achievements, and approach to problem-solving.

My LeetCode Profile

Profile: [@1cbyc on LeetCode](https://leetcode.com/u/1cbyc/) Total Problems Solved: 314+ Contest Rating: [Check my current rating](https://leetcode.com/u/1cbyc/) Streak: [View my solving streak](https://leetcode.com/u/1cbyc/)

Problem Distribution

By Difficulty

  • **Easy:** ~120 problems
  • **Medium:** ~150 problems
  • **Hard:** ~44 problems

By Category

  • **Array & String:** ~80 problems
  • **Linked List:** ~25 problems
  • **Tree & Graph:** ~60 problems
  • **Dynamic Programming:** ~40 problems
  • **Backtracking:** ~30 problems
  • **Binary Search:** ~25 problems
  • **Two Pointers:** ~35 problems
  • **Stack & Queue:** ~20 problems
  • **Heap/Priority Queue:** ~15 problems
  • **Hash Table:** ~35 problems
  • **Math & Logic:** ~30 problems
  • **Bit Manipulation:** ~15 problems

Notable Achievements

Contest Performance

  • **Weekly Contests:** Regular participation with consistent performance
  • **Biweekly Contests:** Strong showing in biweekly competitions
  • **Rating Progression:** Steady improvement over time

Problem-Solving Streaks

  • **Longest Streak:** [Check my profile for current streak](https://leetcode.com/u/1cbyc/)
  • **Consistent Practice:** Daily problem-solving routine
  • **Quality Solutions:** Focus on optimal solutions and clean code

My Problem-Solving Approach

1. Understanding the Problem

  • **Read carefully** - understand input/output requirements
  • **Identify patterns** - look for familiar problem types
  • **Consider edge cases** - think about boundary conditions
  • **Clarify constraints** - understand time/space complexity requirements

2. Planning the Solution

  • **Brute force first** - start with a simple approach
  • **Optimize step by step** - improve time/space complexity
  • **Consider multiple approaches** - explore different algorithms
  • **Choose the best fit** - select optimal solution for the problem

3. Implementation

  • **Clean code** - write readable and maintainable solutions
  • **Handle edge cases** - account for all possible inputs
  • **Test thoroughly** - verify with multiple test cases
  • **Optimize further** - look for additional improvements

4. Analysis & Learning

  • **Time complexity** - analyze and document complexity
  • **Space complexity** - consider memory usage
  • **Alternative solutions** - explore different approaches
  • **Learn from others** - study community solutions

Favorite Problem Categories

Dynamic Programming

i particularly enjoy dynamic programming problems because they require:

  • **Pattern recognition** - identifying optimal substructure
  • **State definition** - defining what information to track
  • **Transition logic** - determining how states relate
  • **Optimization** - finding the most efficient solution

Some of my favorite DP problems:

  • [Longest Palindromic Substring](https://leetcode.com/problems/longest-palindromic-substring/)
  • [Edit Distance](https://leetcode.com/problems/edit-distance/)
  • [Coin Change](https://leetcode.com/problems/coin-change/)
  • [Longest Increasing Subsequence](https://leetcode.com/problems/longest-increasing-subsequence/)

Graph Algorithms

graph problems are fascinating because they model real-world relationships:

  • **BFS/DFS** - traversal and search algorithms
  • **Shortest path** - dijkstra's, bellman-ford algorithms
  • **Topological sorting** - dependency resolution
  • **Union-Find** - connected components and cycles

Notable graph problems solved:

  • [Course Schedule](https://leetcode.com/problems/course-schedule/)
  • [Number of Islands](https://leetcode.com/problems/number-of-islands/)
  • [Word Ladder](https://leetcode.com/problems/word-ladder/)
  • [Redundant Connection](https://leetcode.com/problems/redundant-connection/)

Binary Search

binary search problems require precise implementation:

  • **Search space reduction** - halving the search space
  • **Boundary conditions** - handling edge cases carefully
  • **Monotonic functions** - identifying searchable properties
  • **Implementation details** - avoiding infinite loops

Key binary search problems:

  • [Search in Rotated Sorted Array](https://leetcode.com/problems/search-in-rotated-sorted-array/)
  • [Find First and Last Position](https://leetcode.com/problems/find-first-and-last-position-of-element-in-sorted-array/)
  • [Median of Two Sorted Arrays](https://leetcode.com/problems/median-of-two-sorted-arrays/)
  • [Split Array Largest Sum](https://leetcode.com/problems/split-array-largest-sum/)

Problem-Solving Strategies

1. Two Pointers Technique

  • **Array problems** - efficient traversal and manipulation
  • **String problems** - palindrome, substring operations
  • **Linked list** - cycle detection, intersection
  • **Sliding window** - subarray/substring optimization

2. Sliding Window

  • **Fixed size** - window of constant size
  • **Variable size** - expanding/contracting window
  • **Optimization** - finding min/max subarrays
  • **String problems** - substring with constraints

3. Backtracking

  • **State exploration** - trying different combinations
  • **Pruning** - eliminating invalid paths early
  • **Recursion** - natural problem decomposition
  • **Optimization** - memoization and pruning

4. Monotonic Stack/Queue

  • **Next greater element** - maintaining monotonic order
  • **Histogram problems** - area calculations
  • **Temperature problems** - waiting time calculations
  • **Stock problems** - price analysis

Learning Resources

Books & Materials

  • **"Introduction to Algorithms"** - CLRS for fundamental concepts
  • **"Cracking the Coding Interview"** - practical problem-solving
  • **"Competitive Programming"** - advanced techniques
  • **Online courses** - various platforms for structured learning

Practice Platforms

  • **LeetCode** - primary platform for practice
  • **HackerRank** - additional problem sets
  • **Codeforces** - competitive programming
  • **AtCoder** - algorithmic contests

Community & Learning

  • **Discussion forums** - learn from others' approaches
  • **Solution explanations** - understand different perspectives
  • **Code reviews** - improve coding style
  • **Peer learning** - collaborate with other programmers

Progress Tracking

Weekly Goals

  • **Solve 5-10 problems** per week
  • **Participate in contests** regularly
  • **Review past solutions** for reinforcement
  • **Learn new techniques** continuously

Monthly Reviews

  • **Track improvement** in contest ratings
  • **Identify weak areas** for focused practice
  • **Set new goals** based on performance
  • **Adjust study plan** as needed

Future Goals

Short-term (Next 3 months)

  • **Reach 400 problems** solved
  • **Improve contest rating** consistently
  • **Master advanced DP** techniques
  • **Strengthen graph algorithms** skills

Long-term (Next 6 months)

  • **Achieve 500+ problems** solved
  • **Excel in weekly contests** with top rankings
  • **Contribute solutions** to help others
  • **Mentor beginners** in problem-solving

My Solutions

you can find all my solutions and detailed explanations on my leetcode profile:

[Visit My LeetCode Profile](https://leetcode.com/u/1cbyc/)

What You'll Find There:

  • **Complete solution history** - all 314+ solved problems
  • **Detailed explanations** - step-by-step solution breakdowns
  • **Multiple approaches** - different solutions for the same problem
  • **Performance metrics** - runtime and memory usage
  • **Contest history** - weekly and biweekly contest performance
  • **Rating progression** - improvement over time
  • **Solution discussions** - community interactions

Key Takeaways

Problem-Solving Mindset

  • **Persistence** - keep trying even when stuck
  • **Learning from mistakes** - every wrong attempt is a lesson
  • **Consistency** - regular practice beats cramming
  • **Curiosity** - explore different approaches and techniques

Technical Skills

  • **Algorithm design** - choosing the right approach
  • **Data structure selection** - using appropriate tools
  • **Code optimization** - improving efficiency
  • **Debugging skills** - finding and fixing issues

Personal Growth

  • **Analytical thinking** - breaking down complex problems
  • **Time management** - efficient problem-solving under pressure
  • **Communication** - explaining solutions clearly
  • **Continuous learning** - staying updated with new techniques

Conclusion

my leetcode journey has been incredibly rewarding, teaching me not just algorithms and data structures, but also problem-solving skills that apply to real-world software development. the 314+ problems i've solved represent countless hours of learning, practice, and growth.

whether you're just starting your leetcode journey or you're an experienced problem solver, i encourage you to:

  • **Practice consistently** - even 1-2 problems daily makes a difference
  • **Learn from others** - study different approaches and solutions
  • **Participate in contests** - challenge yourself with time pressure
  • **Share your knowledge** - help others learn and grow

ready to explore my solutions? check out my complete leetcode profile: [@1cbyc on LeetCode](https://leetcode.com/u/1cbyc/)

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*this post is part of my ongoing journey in competitive programming and algorithmic problem-solving. i'm always learning and improving, and i hope this inspires others to start or continue their own leetcode journey.*