https://github.com/DataCamp-Internship/Introduction-to-SQL-with-Jupyter-notebook

Implementing how to work with SQL on Jupyter notebook
https://github.com/DataCamp-Internship/Introduction-to-SQL-with-Jupyter-notebook

jupyter-notebook pandas postgresql sql

Last synced: 11 months ago
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Implementing how to work with SQL on Jupyter notebook

• Host: GitHub
• URL: https://github.com/DataCamp-Internship/Introduction-to-SQL-with-Jupyter-notebook
• Owner: BaraSedih11
• Created: 2024-05-17T04:08:38.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-17T04:22:07.000Z (about 2 years ago)
• Last Synced: 2024-05-17T05:27:09.756Z (about 2 years ago)
• Topics: jupyter-notebook, pandas, postgresql, sql
• Language: Jupyter Notebook
• Homepage:
• Size: 69.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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This repository contains an implementing how to work with SQL on Jupyter notebook in python.

## Overview

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.

## Requirements

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:

```bash

pip install pandas sqlalchemy

```

## Usage

1. Clone this repository to your local machine:

```bash

git clone https://github.com/BaraSedih11/Introduction-to-SQL-with-Jupyter-notebook.git

```

2. Navigate to the repository directory:

```bash

cd Introduction-to-SQL-with-Jupyter-notebook

```

3. Open and run the Jupyter Notebook `notebook.ipynb` using Jupyter Notebook or JupyterLab.

4. Follow along with the code and comments in the notebook to understand how decision trees is implemented using Python.

## Acknowledgements

- [sqlalchemy](https://www.sqlalchemy.org/): The SQlAlchemy library for machine learning in Python.

- [pandas](https://pandas.pydata.org/): The pandas library for data manipulation and analysis in Python.