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data-evaluator

This repo is dedicated to evaluate the data gathered in https://github.com/dtrosien/data-collector

Developer setup

Python setup

Install Anaconda3.
Create an anaconda environment conda create -n data-evaluator python=3.11 so the packages will be encapsulated for this project and do not interfere with other Python projects.

IDE Setup (Pycharm)

Clone the project from GitHub and link it to PyCharm
Link the conda environment by going to
Settings -> Project: data-evaluator -> Python Interpreter -> Add Interpeter (right top corner) -> Add local interpreter -> Conda environment -> Use existing environment -> Select data-evaluator -> OK

Githook setup (Linux)

Go to the directory githooks and add copy the file pre-commit to the directory ./.git/hooks and change its settings to executable:
chmod u+x ./.git/hooks/pre-commit in order to work for the hook. Keep the call for your OS and delete the other ones.

Load existing conda environment

Load the environment from the root directory via
conda env update -n data-evaluator -f ./env/conda-env.yaml

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This repo is dedicated to evaluate the data gathered in https://github.com/dtrosien/data-collector

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