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‎README.md

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@@ -29,21 +29,23 @@ Welcome to the **Leetcode 250** repository – a curated collection of the **250
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## 📚 Structured Problem Categories
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| 💡 Topic | 📌 Folder Name |
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|------------------------|-----------------------|
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| Arrays & Strings | `arrays_strings/` |
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| Linked Lists | `linked_lists/` |
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| Trees & Binary Trees | `trees/` |
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| Graphs & Traversals | `graphs/` |
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| Dynamic Programming | `dp/` |
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| Sliding Window | `sliding_window/` |
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| Binary Search | `binary_search/` |
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| Backtracking | `backtracking/` |
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| Stack & Queues | `stack_queue/` |
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| Heap & Greedy | `heap_greedy/` |
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| Bit Manipulation | `bit_manipulation/` |
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| Math & Logic | `math_logic/` |
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| Others & Miscellaneous | `others/` |
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| 💡 Topic | 📌 Folder Name | 📊 Problem Count |
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|------------------------|-----------------------|------------------|
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| Arrays & Strings | `arrays_strings/` | ~40 problems |
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| Linked Lists | `linked_lists/` | ~20 problems |
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| Trees & Binary Trees | `trees/` | ~35 problems |
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| Graphs & Traversals | `graphs/` | ~25 problems |
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| Dynamic Programming | `dp/` | ~40 problems |
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| Sliding Window | `sliding_window/` | ~20 problems |
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| Binary Search | `binary_search/` | ~15 problems |
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| Backtracking | `backtracking/` | ~20 problems |
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| Stack & Queues | `stack_queue/` | ~15 problems |
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| Heap & Greedy | `heap_greedy/` | ~15 problems |
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| Bit Manipulation | `bit_manipulation/` | ~10 problems |
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| Math & Logic | `math_logic/` | ~10 problems |
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| Others & Miscellaneous | `others/` | ~5 problems |
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> 📖 **Detailed topic guide**: See [TOPICS.md](TOPICS.md) for comprehensive explanations of each category.
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📊 Progress Tracker
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📅 Updates: Daily commits
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> 🎯 **Track your progress**: Run `python progress_tracker.py` to monitor your completion status across all categories.
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⭐ Stars, forks, and contributions are welcome!
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⭐ Support & Share

‎TOPICS.md

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# 📚 NeetCode 250 - Topic Categories
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This document outlines the 13 main topic categories for the NeetCode 250 problems, organized for optimal learning progression.
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## 🎯 Topic Categories
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### 1. **Arrays & Strings** (`arrays_strings/`)
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- **Focus**: Basic array manipulation, string operations, two pointers
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- **Key Concepts**: Array traversal, string manipulation, index-based operations
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- **Common Patterns**: Two pointers, sliding window, prefix sum
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- **Example Problems**: Two Sum, Valid Parentheses, Container With Most Water
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### 2. **Linked Lists** (`linked_lists/`)
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- **Focus**: Linked list operations, node manipulation, cycle detection
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- **Key Concepts**: Node traversal, pointer manipulation, fast/slow pointers
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- **Common Patterns**: Two pointers, dummy nodes, cycle detection
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- **Example Problems**: Reverse Linked List, Detect Cycle, Merge Two Lists
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### 3. **Trees & Binary Trees** (`trees/`)
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- **Focus**: Tree traversal, binary tree operations, tree construction
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- **Key Concepts**: DFS, BFS, recursion, tree properties
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- **Common Patterns**: Inorder/Preorder/Postorder traversal, level order
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- **Example Problems**: Binary Tree Inorder Traversal, Maximum Depth, Validate BST
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### 4. **Graphs & Traversals** (`graphs/`)
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- **Focus**: Graph algorithms, path finding, connectivity
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- **Key Concepts**: DFS, BFS, topological sort, union find
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- **Common Patterns**: Adjacency list/matrix, visited tracking, path finding
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- **Example Problems**: Number of Islands, Course Schedule, Clone Graph
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### 5. **Dynamic Programming** (`dp/`)
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- **Focus**: Memoization, tabulation, optimization problems
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- **Key Concepts**: State transitions, optimal substructure, memoization
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- **Common Patterns**: 1D/2D DP, state compression, bottom-up/top-down
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- **Example Problems**: Climbing Stairs, House Robber, Longest Common Subsequence
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### 6. **Sliding Window** (`sliding_window/`)
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- **Focus**: Fixed/variable window problems, substring operations
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- **Key Concepts**: Window expansion/contraction, condition checking
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- **Common Patterns**: Fixed size window, variable size window, two pointers
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- **Example Problems**: Longest Substring Without Repeating Characters, Minimum Window Substring
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### 7. **Binary Search** (`binary_search/`)
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- **Focus**: Search algorithms, optimization problems
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- **Key Concepts**: Search space reduction, boundary conditions
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- **Common Patterns**: Standard binary search, rotated array search
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- **Example Problems**: Binary Search, Search in Rotated Sorted Array
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### 8. **Backtracking** (`backtracking/`)
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- **Focus**: Recursive exploration, constraint satisfaction
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- **Key Concepts**: State space exploration, pruning, recursion
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- **Common Patterns**: Permutations, combinations, subset generation
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- **Example Problems**: Subsets, Permutations, N-Queens
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### 9. **Stack & Queues** (`stack_queue/`)
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- **Focus**: LIFO/FIFO data structures, monotonic stacks/queues
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- **Key Concepts**: Stack operations, queue operations, monotonicity
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- **Common Patterns**: Monotonic stack, queue-based BFS, stack-based DFS
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- **Example Problems**: Valid Parentheses, Implement Stack using Queues
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### 10. **Heap & Greedy** (`heap_greedy/`)
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- **Focus**: Priority queues, greedy algorithms, optimization
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- **Key Concepts**: Heap operations, greedy choice property
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- **Common Patterns**: Min/max heap, greedy selection, priority-based processing
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- **Example Problems**: Merge k Sorted Lists, Task Scheduler
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### 11. **Bit Manipulation** (`bit_manipulation/`)
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- **Focus**: Bitwise operations, binary number manipulation
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- **Key Concepts**: Bitwise AND/OR/XOR, bit shifting, bit counting
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- **Common Patterns**: Power of 2 detection, bit counting, XOR properties
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- **Example Problems**: Number of 1 Bits, Single Number, Power of Two
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### 12. **Math & Logic** (`math_logic/`)
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- **Focus**: Mathematical algorithms, logical reasoning
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- **Key Concepts**: Prime numbers, GCD/LCM, mathematical properties
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- **Common Patterns**: Sieve of Eratosthenes, mathematical formulas
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- **Example Problems**: Count Primes, Happy Number, Excel Sheet Column Title
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### 13. **Others & Miscellaneous** (`others/`)
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- **Focus**: Specialized algorithms, advanced data structures
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- **Key Concepts**: Trie, segment tree, advanced algorithms
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- **Common Patterns**: Trie operations, segment tree queries
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- **Example Problems**: Implement Trie, Range Sum Query
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## 📊 Learning Path Recommendation
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### Beginner Path (First 50 problems):
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1. Arrays & Strings (15 problems)
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2. Linked Lists (10 problems)
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3. Trees (15 problems)
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4. Stack & Queues (10 problems)
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### Intermediate Path (Next 100 problems):
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1. Graphs (20 problems)
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2. Binary Search (15 problems)
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3. Sliding Window (15 problems)
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4. Backtracking (20 problems)
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5. Heap & Greedy (15 problems)
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6. Math & Logic (15 problems)
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### Advanced Path (Final 100 problems):
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1. Dynamic Programming (40 problems)
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2. Bit Manipulation (15 problems)
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3. Others (25 problems)
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4. Mixed review (20 problems)
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## 🎯 Problem Count by Category
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| Category | Problem Count | Difficulty Distribution |
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|----------|---------------|------------------------|
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| Arrays & Strings | ~40 | Easy: 15, Medium: 20, Hard: 5 |
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| Linked Lists | ~20 | Easy: 8, Medium: 10, Hard: 2 |
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| Trees | ~35 | Easy: 12, Medium: 18, Hard: 5 |
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| Graphs | ~25 | Easy: 5, Medium: 15, Hard: 5 |
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| Dynamic Programming | ~40 | Easy: 8, Medium: 22, Hard: 10 |
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| Sliding Window | ~20 | Easy: 5, Medium: 12, Hard: 3 |
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| Binary Search | ~15 | Easy: 3, Medium: 10, Hard: 2 |
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| Backtracking | ~20 | Easy: 3, Medium: 12, Hard: 5 |
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| Stack & Queues | ~15 | Easy: 6, Medium: 7, Hard: 2 |
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| Heap & Greedy | ~15 | Easy: 3, Medium: 9, Hard: 3 |
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| Bit Manipulation | ~10 | Easy: 2, Medium: 6, Hard: 2 |
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| Math & Logic | ~10 | Easy: 3, Medium: 5, Hard: 2 |
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| Others | ~5 | Easy: 1, Medium: 2, Hard: 2 |
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## 🚀 Tips for Success
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1. **Start with Arrays & Strings** - Build strong fundamentals
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2. **Practice Daily** - Consistency is key to retention
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3. **Understand Patterns** - Focus on recognizing problem patterns
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4. **Time Yourself** - Practice under interview conditions
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5. **Review Solutions** - Learn from optimal approaches
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6. **Implement from Scratch** - Don't just read, code!
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---
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*This structure follows the NeetCode 250 curriculum designed for optimal learning progression and interview preparation.*

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