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A structured collection of problem-solving patterns in Data Structures and Algorithms to master coding efficiently.

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DSAlgoPatterns - DSA Pattern-Based Learning Repository

Welcome to DSAlgoPatterns, a structured collection of Data Structures and Algorithms (DSA) problems designed to help you build problem-solving intuition across C++, Python, and Java.

Each topic follows a pattern-based approach, ensuring you recognize and apply solutions effectively. Every problem includes:

  • Solutions in C++, Python, and Java
  • An explanation (.md file) for clarity
  • Key concepts and approaches
  • Real-world analogy

This repository is built to be a self-sustained learning resource, whether you're preparing for coding interviews, competitive programming, or improving problem-solving skills.

🟒 Beginner | 🟑 Intermediate | πŸ”΄ Advanced

πŸ“‚ Repository Blueprint

Arrays & Hashing

Two Pointers

Binary Search

Sliding Window

Backtracking

Graphs

1-D DP

2-D DP

Bit Manipulation

Math & Geometry

Heap, Merge, & Stacks

Trees & Trie

Greedy & Design

  • Each topic folder contains problems implemented in three languages.
  • Every problem has an accompanying .md file explaining approaches, time complexity, and best pr actices.

πŸ›  How to Use This Repository

  1. Pick a pattern-based topic from the Topics Covered section.
  2. Read the theory (if available) before solving problems.
  3. Solve problems in your preferred language (C++, Python, Java).
  4. Refer to the explanation (.md file) if needed.
  5. Compare implementations across languages to recognize common patterns.
  6. Revisit problems periodically for retention.

(⚑ More topics will be added as we progress!)

πŸ“‘ Language-Specific Notes

Language Key Considerations
C++ STL (vector, set, unordered_map, priority_queue) is useful. Efficient memory management is key.
Python List comprehensions, collections module, and heapq simplify solutions. Python's recursion depth needs handling.
Java Uses ArrayList, HashMap, and PriorityQueue. Extra attention to handling large numbers and recursion stack size.

Tip: If you're learning all three languages, compare implementations to spot similarities and differences!

πŸ“ˆ Future Scope & Contributions

πŸ”Ή Planned Additions:

  • πŸ“Œ More problems covering all patterns.
  • πŸ“Œ Code optimizations and best practices.
  • πŸ“Œ Company-wise problem tagging (Google, Amazon, etc.).
  • πŸ“Œ Adding video explanations for complex topics.
  • πŸ“Œ Interactive challenges and quizzes for learning reinforcement.
  • πŸ“Œ LeetCode, CodeChef, and CodeForces problem mapping.
  • πŸ“Œ Performance analysis of different approaches.

✨ Keep Learning & Happy Coding!

πŸ”Ή This repository is a work in progress and will keep evolving. If it helps you, drop a ⭐ on GitHub!

πŸš€ Let's crack DSA, one pattern at a time! πŸš€

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