Welcome to the Advanced-SQL-In-Python repository!
This project is designed to help you master advanced SQL concepts using Python tools and libraries such as sqlite3, SQLAlchemy, Pandas, and Jupyter Notebooks. It’s ideal for aspiring Data Analysts, Data Engineers, and Machine Learning Engineers who want to blend the power of SQL with Python for real-world data analysis. Here We will cover all the concepts in deep. Follow All the files and become an SQL Expert

• 🧠 SQL Basics Recap (SELECT, WHERE, JOIN)
• 🔍 Complex JOINs (INNER, OUTER, CROSS)
• 🧮 Subqueries and Nested SELECTs
• 🏗️ CTEs (Common Table Expressions)
• 🧹 Window Functions (ROW_NUMBER, RANK, PARTITION BY)
• 🛠️ Aggregate Functions with GROUP BY and HAVING
• 🚦 Conditional Logic (CASE WHEN)
• 📂 Data Manipulation (INSERT, UPDATE, DELETE via Python)
• 📈 SQL with Pandas and DataFrames
• 🔐 Secure Query Execution (Avoiding SQL injection)
• 🗃️ Connecting to SQLite / MySQL / PostgreSQL using SQLAlchemy

• Python 3.x
• Jupyter Notebook / VS Code
• sqlite3 – Built-in Python library for SQLite databases
• pandas – For data manipulation
• SQLAlchemy – SQL toolkit and ORM
• ipython-sql – Running SQL directly in Jupyter cells

1. Clone the Repository

   git clone https://github.com/mirzayasirabdullahbaig07/Advanced-SQL-In-Python.git
   cd Advanced-SQL-In-Python
   

• GitHub: mirzayasirabdullahbaig07
• Linktree: linktr.ee/mirzayasirabdullahbaig
• LinkedIn: linkedin.com/in/mirza-yasir-abdullah-baig