Getting HXCoreOL up and running is a straightforward process once you understand the dependencies and environment requirements. This guide covers the complete installation lifecycle, from system preparation to verifying your first successful run.

Path Errors: If the "hxcoreol" command is not found after installation, ensure your Python script directory is added to your system's PATH variable. Conclusion

Memory: Minimum 4GB RAM (8GB recommended for larger datasets). Step 1: Environment Preparation

Open the generated config file in your preferred text editor.

Whether you are deploying this for a development environment or a production-grade workflow, follow these steps to ensure a stable setup. System Requirements and Prerequisites

It is highly recommended to install HXCoreOL within a virtual environment. This prevents version conflicts with other Python projects on your system. To create a virtual environment, run: python -m venv hxcore_env Activate the environment: Linux/macOS: source hxcore_env/bin/activate Windows: .\hxcore_env\Scripts\activate Step 2: The HXCoreOL Installation Process