https://github.com/datacamp-internship/introduction-to-python-with-jupyter-notebook

Implementing how to work with python on Jupyter notebook
https://github.com/datacamp-internship/introduction-to-python-with-jupyter-notebook

folium jupyter-notebook matplotlib pandas python

Last synced: 7 months ago
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Implementing how to work with python on Jupyter notebook

• Host: GitHub
• URL: https://github.com/datacamp-internship/introduction-to-python-with-jupyter-notebook
• Owner: DataCamp-Internship
• Created: 2024-05-17T04:25:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-17T04:42:32.000Z (over 1 year ago)
• Last Synced: 2025-01-24T16:49:45.929Z (9 months ago)
• Topics: folium, jupyter-notebook, matplotlib, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 154 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 python on Jupyter notebook in python.

## Overview

In this repository, we demonstrate how to perform python queries using Python on Jypyter notebook. We utilize libraries such as pandas, matplotlib and folium. Additionally, we provide a simple example along with explanations to help you understand how to apply python 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:

- folium

- pandas

- matplotlib

You can install these libraries using pip:

```bash

pip install pandas folium matplotlib

```

## Usage

1. Clone this repository to your local machine:

```bash

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

```

2. Navigate to the repository directory:

```bash

cd Introduction-to-python-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

- [folium](https://pypi.org/project/folium/): The folium library for maps in Python.

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

- [matplotlib](https://matplotlib.org/): The matplotlib library for data visualization in Python.