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Introduction_to_python_with_Jupyter_notebook

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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:

pip install pandas folium matplotlib

Usage

  1. Clone this repository to your local machine:
git clone https://github.com/BaraSedih11/Introduction-to-python-with-Jupyter-notebook.git
  1. Navigate to the repository directory:
cd Introduction-to-python-with-Jupyter-notebook

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

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

Acknowledgements

  • folium: The folium library for maps in Python.
  • pandas: The pandas library for data manipulation and analysis in Python.
  • matplotlib: The matplotlib library for data visualization in Python.