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: 28 days ago
JSON representation

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 (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-17T04:42:32.000Z (9 months ago)
• Last Synced: 2025-01-24T16:49:45.929Z (28 days 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

Awesome Lists containing this project

README

        


![Introduction_to_python_with_Jupyter_notebook](https://github.com/BaraSedih11/Introduction-to-python-with-Jupyter-notebook/assets/98843912/a3910f03-be3d-4ee1-b659-f9d1aff2d45c)

   ![GitHub repo size](https://img.shields.io/github/repo-size/BaraSedih11/Introduction-to-python-with-Jupyter-notebook) ![GitHub repo file count (file type)](https://img.shields.io/github/directory-file-count/BaraSedih11/Introduction-to-python-with-Jupyter-notebook) [![Python Version](https://img.shields.io/badge/python-3.8-blue)](https://www.python.org/downloads/release/python-380/)

[![Pip Version](https://img.shields.io/badge/pip-21.0-orange)](https://pypi.org/project/pip/21.0/)

 ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/BaraSedih11/Introduction-to-python-with-Jupyter-notebook/main)

[![Version](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/BaraSedih11/Introduction-to-python-with-Jupyter-notebook/releases/tag/v1.0.0)

[![Contributors](https://img.shields.io/github/contributors/BaraSedih11/Introduction-to-python-with-Jupyter-notebook)](https://github.com/BaraSedih11/Introduction-to-python-with-Jupyter-notebook/graphs/contributors)

![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/BaraSedih11/Introduction-to-python-with-Jupyter-notebook)



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.