# 🪄 Magic - The Ultimate DSA Algorithm Library
[](https://pypi.org/project/magicdsa/)
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/)
🚀 **Magic** is a beginner-friendly Python package that contains **hundreds of Data Structures and Algorithms (DSA)** implementations — all organized, categorized, and ready to use or learn from.
Whether you’re preparing for coding interviews, learning DSA from scratch, or building algorithmic projects, `magic` is your one-stop toolkit.
---
## ✨ Features
- 📚 14+ Categories of algorithms (Arrays, Linked Lists, Trees, Graphs, DP, and more)
- 🔍 Easy access: `magic.show("<algorithm_name>")` to see any implementation
- 🧠 Educational: Every algorithm is beginner-friendly and well-commented
- 📦 Lightweight: Just one pip install and you’re ready to go!
---
## 📦 Installation
Install from PyPI (example name `magicdsa` — replace with your actual published name):
```bash
pip install --upgrade magicdsa
⚡️ Quick Start
import magic
# 📁 Show all categories
print(magic.show("category"))
# 📚 Show all algorithms in a specific category
print(magic.show("linked lists"))
# 🧠 Show full source code of a specific algorithm
print(magic.show("linearsearch"))
📚 Available Categories
-Arrays & Strings
-Linked Lists
-Stack & Queue
-Recursion & Backtracking
-Binary Trees
-Binary Search Trees (BST)
-Heap / Priority Queue
-Graphs
-Dynamic Programming
-Trie
-Segment Tree & BIT
-Bit Manipulation
-Math & Number Theory
-Miscellaneous
🤝 Contributing
Contributions are welcome! Feel free to open issues or submit PRs to add new algorithms, fix bugs, or improve documentation.
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"description": "# \ud83e\ude84 Magic - The Ultimate DSA Algorithm Library\r\n\r\n[](https://pypi.org/project/magicdsa/)\r\n[](https://opensource.org/licenses/MIT)\r\n[](https://www.python.org/)\r\n\r\n\ud83d\ude80 **Magic** is a beginner-friendly Python package that contains **hundreds of Data Structures and Algorithms (DSA)** implementations \u2014 all organized, categorized, and ready to use or learn from.\r\n\r\nWhether you\u2019re preparing for coding interviews, learning DSA from scratch, or building algorithmic projects, `magic` is your one-stop toolkit.\r\n\r\n---\r\n\r\n## \u2728 Features\r\n\r\n- \ud83d\udcda 14+ Categories of algorithms (Arrays, Linked Lists, Trees, Graphs, DP, and more)\r\n- \ud83d\udd0d Easy access: `magic.show(\"<algorithm_name>\")` to see any implementation\r\n- \ud83e\udde0 Educational: Every algorithm is beginner-friendly and well-commented\r\n- \ud83d\udce6 Lightweight: Just one pip install and you\u2019re ready to go!\r\n\r\n---\r\n\r\n## \ud83d\udce6 Installation\r\n\r\nInstall from PyPI (example name `magicdsa` \u2014 replace with your actual published name):\r\n\r\n```bash\r\npip install --upgrade magicdsa\r\n\u26a1\ufe0f Quick Start\r\nimport magic\r\n\r\n# \ud83d\udcc1 Show all categories\r\nprint(magic.show(\"category\"))\r\n\r\n# \ud83d\udcda Show all algorithms in a specific category\r\nprint(magic.show(\"linked lists\"))\r\n\r\n# \ud83e\udde0 Show full source code of a specific algorithm\r\nprint(magic.show(\"linearsearch\"))\r\n\r\n\ud83d\udcda Available Categories\r\n\r\n-Arrays & Strings\r\n\r\n-Linked Lists\r\n\r\n-Stack & Queue\r\n\r\n-Recursion & Backtracking\r\n\r\n-Binary Trees\r\n\r\n-Binary Search Trees (BST)\r\n\r\n-Heap / Priority Queue\r\n\r\n-Graphs\r\n\r\n-Dynamic Programming\r\n\r\n-Trie\r\n\r\n-Segment Tree & BIT\r\n\r\n-Bit Manipulation\r\n\r\n-Math & Number Theory\r\n\r\n-Miscellaneous\r\n\r\n\ud83e\udd1d Contributing\r\n\r\nContributions are welcome! Feel free to open issues or submit PRs to add new algorithms, fix bugs, or improve documentation.\r\n",
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