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and Transportation","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# Welcome to venco.py!\n\n- Authors: Niklas Wulff, Fabia Miorelli\n- Contact: vencopy@dlr.de\n\n# Contents\n\n- [Description](#description)\n- [Installation](#installation)\n- [Codestyle](#codestyle)\n- [Documentation](#documentation)\n- [Useful Links](#useful-links)\n- [Want to contribute?](#want-to-contribute)\n\n## Description\n\nA data processing tool estimating hourly electric demand and flexibility profiles for future \nelectric vehicle fleets. Profiles are targeted to be scalable for the use in large-scale\nenergy system models. \n\n## Installation\n\nDepending on if you want to use venco.py or if you want to contribute, there are\ntwo different installation procedures described in venco.py's documentation:\n\n[I want to apply the tool](https://dlr-ve.gitlab.io/esy/vencopy/vencopy/gettingstarted/installation.html#installation-for-users)\n\n[I want to contribute to the codebase, the documentation or the tutorials](https://dlr-ve.gitlab.io/esy/vencopy/vencopy/gettingstarted/installation.html#installation-for-developers)\n\nIn order to start using venco.py, check out our [tutorials](https://dlr-ve.gitlab.io/esy/vencopy/vencopy/gettingstarted/start.html). For this you won't need any additional data.\n\nTo run venco.py in full mode, you will need the data set Mobilität in Deutschland (German for \"mobility in Germany\"). 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