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LeetCode_30_days_of_pandas

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This repo contains solutions to LeetCode’s 30-Day pandas challenge, showcasing efficient data manipulation techniques. Each day’s problem is solved using pandas functions like groupby, merge, and pivot. Code is well-structured, documented, and ideal for learning pandas through real-world problems. 🚀

// repository documentation

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# 📊 LeetCode 30 Days of Pandas 🚀

![LeetCode](https://upload.wikimedia.org/wikipedia/commons/1/19/LeetCode_logo_black.png)

Welcome to the **LeetCode 30 Days of Pandas** challenge! 🐼 This repository contains solutions to **LeetCode SQL problems** solved using **Pandas**.

---

## 📌 **About the Challenge**
LeetCode has introduced a **30-day SQL Challenge**, but instead of using SQL, this repository provides solutions in **Python (Pandas)**.

Each problem includes:
✅ Problem Statement  
✅ Input & Output Example  
✅ Solution using Pandas  
✅ Explanation

---

## 📂 **Repository Structure**
```
LeetCode_30_days_of_pandas/
│── 📁 problems/
│   ├── 1757_recyclable_and_low_fat_products.py
│   ├── 1873_calculate_special_bonus.py
│   ├── 0000_example_problem.py
│── 📁 datasets/  
│   ├── products.csv
│   ├── employees.csv
│── README.md  
│── requirements.txt  
```

---

## 🏆 **Problems Solved**
| #    | Problem Name                        | Solution                                                   | LeetCode Link                                                                |
| ---- | ----------------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------------------------- |
| 1757 | **Recyclable and Low Fat Products** | [🔗 View](problems/1757_recyclable_and_low_fat_products.py) | [🔗 LeetCode](https://leetcode.com/problems/recyclable-and-low-fat-products/) |
| 1873 | **Calculate Special Bonus**         | [🔗 View](problems/1873_calculate_special_bonus.py)         | [🔗 LeetCode](https://leetcode.com/problems/calculate-special-bonus/)         |

---

## 🔥 **Want to Participate?**
1. **Fork** this repository 🍴
2. **Clone** your fork  
   ```
   git clone https://github.com/your-username/LeetCode_30_days_of_pandas.git
   ```
3. **Install dependencies**  
   ```
   pip install -r requirements.txt
   ```
4. **Solve a problem & contribute** 🚀  
   - Create a new file in `problems/`
   - Follow the existing structure
   - Submit a **Pull Request (PR)**

---

## 🛠 **Installation & Setup**
1. Install **Python** (>=3.8)
2. Install **Pandas**  
   ```
   pip install pandas
   ```
3. Run solutions  
   ```
   python problems/1757_recyclable_and_low_fat_products.py
   ```

---

## 🤝 **Contribute & Support**
- Star ⭐ this repo if you found it helpful  
- Share your own **Pandas solutions**  
- Open an **Issue** for suggestions or corrections

---

## 📌 **Useful Links**
- 🔗 [LeetCode SQL Problems](https://leetcode.com/problemset/database/)
- 🔗 [Pandas Documentation](https://pandas.pydata.org/)
- 🔗 [Contribute on GitHub](https://github.com/your-username/LeetCode_30_days_of_pandas)

---

## 💡 *Happy coding! Let's master Pandas together! 🚀*

This `README.md` provides:  
✅ **Clear structure**  
✅ **Instructions to contribute**  
✅ **Links to LeetCode problems**  
✅ **Setup & installation guide**

LeetCode_30_days_of_pandas

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