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LeetCode SQL 50 Solution/1757. Recyclable and Low Fat Products/readme.md

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+Here’s a well-structured `README.md` for **LeetCode 1757 - Recyclable and Low Fat Products**, formatted for a GitHub repository:
+
+```md
+# ♻️ Recyclable and Low Fat Products - LeetCode 1757
+
+## 📌 Problem Statement
+You are given a table **Products** that contains information about products with respect to their fat content and recyclability.
+
+- The **low_fats** column is an ENUM with values `'Y'` and `'N'`, where `'Y'` indicates the product is low fat.
+- The **recyclable** column is an ENUM with values `'Y'` and `'N'`, where `'Y'` indicates the product is recyclable.
+
+Your task is to **find the IDs of products that are both low fat and recyclable**.
+
+Return the result in **any order**.
+
+---
+
+## 📊 Table Structure
+
+### **Products Table**
+| Column Name | Type |
+| ----------- | ---- |
+| product_id | int |
+| low_fats | enum |
+| recyclable | enum |
+
+- `product_id` is the **primary key**.
+
+---
+
+## 📊 Example 1:
+
+### **Input:**
+#### **Products Table**
+| product_id | low_fats | recyclable |
+| ---------- | -------- | ---------- |
+| 0 | Y | N |
+| 1 | Y | Y |
+| 2 | N | Y |
+| 3 | Y | Y |
+| 4 | N | N |
+
+### **Output:**
+| product_id |
+| ---------- |
+| 1 |
+| 3 |
+
+### **Explanation:**
+- Only products with `product_id` **1** and **3** are **both low fat and recyclable**.
+
+---
+
+## 🖥 SQL Solution
+
+### ✅ **Approach:**
+- Filter the **Products** table for rows where `low_fats = 'Y'` and `recyclable = 'Y'`.
+- Return the corresponding `product_id`.
+
+```sql
+SELECT product_id
+FROM Products
+WHERE low_fats = 'Y' AND recyclable = 'Y';
+```
+
+---
+
+## 🐍 Python (Pandas) Solution
+
+### ✅ **Approach:**
+1. Load the **Products** table into a Pandas DataFrame.
+2. Filter the DataFrame to keep rows where both `low_fats` and `recyclable` are `'Y'`.
+3. Select and return the `product_id` column.
+
+```python
+import pandas as pd
+
+def recyclable_low_fat_products(products: pd.DataFrame) -> pd.DataFrame:
+ # Filter rows where both low_fats and recyclable are 'Y'
+ filtered = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')]
+ # Select only the product_id column
+ result = filtered[['product_id']]
+ return result
+```
+
+---
+
+## 📁 File Structure
+```
+📂 Recyclable-Low-Fat-Products
+│── 📜 README.md
+│── 📜 solution.sql
+│── 📜 solution_pandas.py
+│── 📜 test_cases.sql
+│── 📜 sample_data.csv
+```
+
+---
+
+## 🔗 Useful Links
+- 📖 [LeetCode Problem](https://leetcode.com/problems/recyclable-and-low-fat-products/)
+- 🔍 [MySQL WHERE Clause](https://www.w3schools.com/sql/sql_where.asp)
+- 🐍 [Pandas DataFrame Filtering](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.loc.html)
+```
+
+### Features of this `README.md`:
+✅ **Clear problem description with table structure** 
+✅ **Example with detailed explanation** 
+✅ **SQL and Python (Pandas) solutions with breakdown** 
+✅ **Organized file structure for repository** 
+✅ **Helpful links for further learning**
+
+Let me know if you need any modifications!