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The framework allows easy implementation of complex models by combining different environmental, social-metabolic, and cultural submodels using various modeling techniques including differential equations, stochastic and deterministic events.\n\n## Installation\n\n```bash\npip install pycopancore\n```\n\n### Documentation\nComprehensive documentation is available at: https://pik-copan.github.io/pycopancore\n\nSee [examples](./examples/) for examples on how to use the framework.\n\n## Questions / Problems\n\nIn case of questions please contact core@pik-potsdam.de or [open an issue](https://github.com/pik-copan/pycopancore/issues/new).\n\n## Contributing\nMerge requests are welcome, see [CONTRIBUTING.md](CONTRIBUTING.md).\nFor major changes, please open an issue first to discuss what you would like to\nchange.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpik-copan%2Fpycopancore","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpik-copan%2Fpycopancore","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpik-copan%2Fpycopancore/lists"}