This project consists of a single Jupyter Notebook that demonstrates a specific data analysis, visualization, or computational task. Below is an overview of the technologies, packages, and modules used in this project.

• testbook.ipynb: A comprehensive Jupyter Notebook that contains the entirety of the project's codebase, including data analysis, visualization, and any computational algorithms implemented.

The project leverages the following technologies and Python packages:

• matplotlib: Used for creating static, animated, and interactive visualizations.
• nba_api.stats.endpoints: Used for specific tasks not detailed here.
• nba_api.stats.library.parameters: Used for specific tasks not detailed here.
• nba_api.stats.static: Used for specific tasks not detailed here.
• pandas: Used for data manipulation and analysis.

Ensure you have Python installed on your system. You can then install the required packages using the following command:

pip install PACKAGE_NAMES

Replace PACKAGE_NAMES with the names of the packages identified above.

To run the notebook:

1. Ensure Jupyter Notebook or JupyterLab is installed.
2. Navigate to the project directory.
3. Start JupyterLab or Jupyter Notebook.
4. Open testbook.ipynb and run the cells.

• Verify the installation of all required packages before running the notebook.
• The project is designed for educational purposes and may require modifications for other uses.