📘 Data Structures & Algorithms in Python

A curated collection of essential Data Structures, Algorithms, and Problem-Solving Patterns, implemented in Python.
This repository serves as both a learning reference and a personal toolkit for technical interviews and system design preparation.

✅ Cleanly structured
📊 Includes time and space complexity notes
🚀 Actively expanding with solved LeetCode problems and reusable components

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📂 Repository Structure

🔧 data_structures/

Implementations of core data structures:

• linked_list/ — Singly and Doubly Linked Lists
• stack.py
• queue.py
• hash_table.py
• tree/
• graph/
• ...

📐 algorithms/

Key algorithmic techniques:

• Sorting & Searching
• Recursion & Backtracking
• Dynamic Programming
• Greedy Algorithms
• ...

🧠 leetcode/

Practice problems organized by topic:

• Arrays, Strings, Trees, Graphs, etc.
• Pattern-based solutions with explanation

🧰 utils/ (formerly desultory/)

Reusable snippets:

• Common for-loops
• Sliding window
• Two pointers
• Recursion templates

📖 docs/ (formerly universal/)

• big_o.md — Time and space complexity cheat sheet

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📈 Roadmap

• Singly Linked List
• Doubly Linked List
• Stack & Queue
• Hash Tables
• Trees (BST, Heap, Trie)
• Graphs (BFS, DFS, Topo Sort)
• Sorting & Searching Algorithms
• Dynamic Programming Patterns
• LeetCode 150 Curated Problems

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🧭 Philosophy

“Data structures are the bones. Algorithms are the muscles.
Patterns are the brain. Together, they build intelligence.”

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🧑‍💻 Author

Shinde Aditya
Machine Learning Engineer | Systems Thinker | Problem Solver
🌐 www.heyshinde.com

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📬 Contact

For collaboration, feedback, or opportunities:
📧 Reach me via LinkedIn or my website.

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⭐️ If You Found This Useful

Consider starring the repository. It fuels further contributions and keeps the momentum going.