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/)
---
*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.*