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
Open the generated config file in your preferred text editor. hxcoreol install
Permission Denied: If you encounter permission errors on Linux, avoid using sudo with pip. Instead, use a virtual environment or the --user flag. Path Errors: If the "hxcoreol" command is not
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. Instead, use a virtual environment or the --user flag
Memory: Minimum 4GB RAM (8GB recommended for larger datasets). Step 1: Environment Preparation
Installing HXCoreOL provides a robust foundation for your data processing tasks. By following the virtual environment approach and running the diagnostic check, you minimize the risk of runtime errors. Keep your installation updated regularly by running pip install --upgrade hxcoreol to access the latest features and security patches.
After the installation completes, you must initialize the configuration. HXCoreOL relies on a .yaml or .json configuration file to define data paths and API endpoints. Generate a default config: hxcoreol --init