This repository contains an implementing how to work with SQL on Jupyter notebook in python.
In this repository, we demonstrate how to perform SQL queries using Python on Jypyter notebook. We utilize libraries such as pandas and sqlalchemy. Additionally, we provide a simple example along with explanations to help you understand how to apply SQL queries to your own datasets.
To run the code in the Jupyter Notebook, you need to have Python installed on your system along with the following libraries:
- SQLAlchemy
- pandas
You can install these libraries using pip:
pip install pandas sqlalchemy
- Clone this repository to your local machine:
git clone https://github.com/BaraSedih11/Introduction-to-SQL-with-Jupyter-notebook.git
- Navigate to the repository directory:
cd Introduction-to-SQL-with-Jupyter-notebook
-
Open and run the Jupyter Notebook
notebook.ipynb
using Jupyter Notebook or JupyterLab. -
Follow along with the code and comments in the notebook to understand how decision trees is implemented using Python.
- sqlalchemy: The SQlAlchemy library for machine learning in Python.
- pandas: The pandas library for data manipulation and analysis in Python.