https://github.com/mirzayasirabdullahbaig07/advanced-sql-in-python
This repository covers advanced SQL concepts implemented using Python. It demonstrates how to interact with databases, run complex queries, perform joins, aggregations, window functions, and more using libraries like sqlite3, SQLAlchemy, or pandas. Ideal for data analysts and developers looking to integrate SQL power into Python workflows.
https://github.com/mirzayasirabdullahbaig07/advanced-sql-in-python
data databases dbms mysql nosql programing-language python sql
Last synced: 3 months ago
JSON representation
This repository covers advanced SQL concepts implemented using Python. It demonstrates how to interact with databases, run complex queries, perform joins, aggregations, window functions, and more using libraries like sqlite3, SQLAlchemy, or pandas. Ideal for data analysts and developers looking to integrate SQL power into Python workflows.
- Host: GitHub
- URL: https://github.com/mirzayasirabdullahbaig07/advanced-sql-in-python
- Owner: mirzayasirabdullahbaig07
- Created: 2025-07-24T14:31:53.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-07-31T17:00:06.000Z (5 months ago)
- Last Synced: 2025-07-31T20:29:14.123Z (5 months ago)
- Topics: data, databases, dbms, mysql, nosql, programing-language, python, sql
- Language: Python
- Homepage:
- Size: 43.9 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📊 Advanced SQL in Python
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
---
## 📌 Key Topics Covered
- 🧠 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
---
## 🐍 Tools & Libraries
- 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
---
## 🚀 Getting Started
1. **Clone the Repository**
```bash
git clone https://github.com/mirzayasirabdullahbaig07/Advanced-SQL-In-Python.git
cd Advanced-SQL-In-Python
---
## 🔗 Connect With Me
- **GitHub**: [mirzayasirabdullahbaig07](https://github.com/mirzayasirabdullahbaig07)
- **Linktree**: [linktr.ee/mirzayasirabdullahbaig](https://linktr.ee/mirzayasirabdullahbaig)
- **LinkedIn**: [linkedin.com/in/mirza-yasir-abdullah-baig](https://www.linkedin.com/in/mirza-yasir-abdullah-baig/)
---