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The ETS (TNO) CookBook of useful Python Scripts

Project description

ETS_CookBook

This repository contains the ETS CookBook, which is a collection of useful Python scripts used across ETS (a research group within TNO) models.

Authors and contact

Omar Usmani Omar.Usmani@TNO.nl

Installation and use

You can either copy the ETS_CookBook.py file (in src/ETS_CookBook) to your project and import it, or (preferably) install it via PyPi:

pip install ETS_CookBook

You also need to ensure that all the required libraries are installed. Their list in given in requirements.txt. You can do this with the following command:

pip install -r requirements.txt

To use the CookBook, import it as such: from ETS_CookBook import ETS_CookBook as cook Then you can call your functions as such: cook.reference_scale([0.26, 0.89])

(You can replace the as cook with something else, or even skip it altogether: if you do skip it, then call the functions with ETS_CookBook.function).

License

This cookbook is released under the Apache 2.0. All accompanying documentation and manuals are released under the Creative Commons BY-SA 4.0 license

Documentation

The documentation can be found here.

Distribution package

The distribution package can be found here.

Status

This CookBook is a working version that will be updated with new functions as they are need in various projects. Functions will be updated as appropriate. You can contact the authors for bug reports, feature suggestions, or any questions you might have.

Goals

This module was forked from prior work, most notably from ChaProEV. The forking is due to the/desire to use the auxiliary functions developed in these projects in more project needs.

Libraries used and licensing

(See requirements.txt file for versions (corresponding to Python 3.11.1, which is the version used for developing and testing the model)) pip install -r requirements.txt

Acknowledgements

This CookBook has been developed within multiple projects, including the following:

EU emblem This project was partly develop under funding from European Climate, Infrastructure and Environment Executive Agency under the European Union’s HORIZON Research and Innovation Actions under grant agreement N°101095998.

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