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environment.yml
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name: elmed219-2025
channels:
- conda-forge
dependencies:
- python=3.11
- ipython
- ipykernel
- ipywidgets
- pandas
- matplotlib
- seaborn
- jupyter
- jupyterlab
- git
- pip
- pip:
- gdown
- pycaret
- shap
- catboost
- xgboost
- pyreadstat
- statsmodels
- pingouin
- voila
- scikit-learn
- scikit-image
- SimpleITK
- itkwidgets
- imageio
- dcm2niix
- readimc
- tiffile
- nilearn
- networkx
- dipy
- openpyxl
- pygraphviz # Lab1
- pydot # Lab1
- python-louvain # Lab1
## Configure the Conda-environment elmed219-2025 for data analysis, computational imaging and modeling (only once):
# conda env create -f environment.yml
## To make a ELMED219-2025 kernel (optional):
# python -m ipykernel install --user --name elmed219-2025 --display-name "ELMED219-2025"
## To activate the elmed219-2025 conda environment:
# conda activate elmed219-2025
## To update the elmed219-2025 conda environment:
# conda env update -f environment.yml
## To remove and reinstall the elmed219-2025 environment (if installation problems):
# conda deactivate
# conda env remove -n elmed219-2025
# conda env create -f environment.yml