https://github.com/iamantimpal/leetcode_30_days_of_pandas
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. 🚀
https://github.com/iamantimpal/leetcode_30_days_of_pandas
Last synced: 6 months ago
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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. 🚀
- Host: GitHub
- URL: https://github.com/iamantimpal/leetcode_30_days_of_pandas
- Owner: iamAntimPal
- Created: 2025-03-13T05:39:36.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-28T05:30:27.000Z (6 months ago)
- Last Synced: 2025-03-28T06:26:24.684Z (6 months ago)
- Language: Python
- Homepage:
- Size: 1000 Bytes
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📊 LeetCode 30 Days of Pandas 🚀
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**