NBA Data Analytics

Historical Statistics on NBA Champions

Built With

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Getting Started

This guide will help you set up the development environment for the DataAnalytics-NBA project.

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)

Setting up the Virtual Environment

1. Clone the repository (if you haven't already):

   git clone <repository-url>
   cd DataAnalytics-NBA

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   On macOS/Linux:

   source venv/bin/activate

   On Windows:

   venv\Scripts\activate

4. Verify the virtual environment is active:

   which python  # Should point to your venv directory
   pip list      # Should show only basic packages

Installing Dependencies

1. Install required packages (if you have a requirements.txt file):

   pip install -r requirements.txt

2. Or install packages individually (if no requirements.txt exists):

   pip install <package-name>

3. Verify installation:

   pip list

Running the Project

1. Make sure your virtual environment is activated:

   source venv/bin/activate  # macOS/Linux
   # or
   venv\Scripts\activate     # Windows

2. Run your project:

   python main.py

Deactivating the Virtual Environment

When you're done working on the project:

deactivate

Troubleshooting

• If you get permission errors: Make sure you have write permissions in the project directory
• If packages fail to install: Try upgrading pip first: pip install --upgrade pip
• If you need to recreate the environment: Delete the venv folder and repeat the setup steps
• If Black formatting fails: Make sure you're in the virtual environment and Black is installed

Notes

• Always activate the virtual environment before working on the project
• The virtual environment keeps project dependencies isolated from your system Python
• Remember to add venv/ to your .gitignore file if it's not already there

Acknowledgments

• https://www.basketball-reference.com/