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## Some useful commands to manage your conda env:
## LIST MAMBA ENVS: mamba list -n *VE # show list of installed packages
## UPDATE MAMBA: mamba update -n base mamba
## INSTALL MAMBA EV: mamba env create -f *VE.yml
## UPDATE MAMBA ENV: mamba env update -f *VE.yml --prune
## ACTIVATE MAMBA ENV: mamba activate *VE
## REMOVE MAMBA ENV: mamba remove -n *VE --all
## mamba env update --prune -n eVE -f eVE.yml
name: eVE # experimental and light Virtual Environmnet
channels:
- conda-forge
dependencies:
#- python=3.8
#- python=3.9
#- python=3.10
- python=3.11
- pip
- pip:
- pytest
- pytest-mock
- pyyaml
- requests
- xgboost #https://github.com/dmlc/xgboost/tags
- lightgbm #https://github.com/microsoft/LightGBM/tags
- scikit-learn #https://github.com/scikit-learn/scikit-learn/tags
- tqdm #https://github.com/tqdm/tqdm/tags
- pylint #https://github.com/pylint-dev/pylint/tags
- seaborn #https://github.com/mwaskom/seaborn/tags
- pandas
### VERSIONS of pyside6: https://pypi.org/project/PySide6/#history
#- pyside6>=6.4.2
### VERSIONS of VTK https://gitlab.kitware.com/vtk/vtk/-/tags
#- vtk>=9.0.3
#- vtk>=9.2.0
#- vtk>=9.2.5
#- vtk>=9.3.0
### VERSIONS of opencv-contrib-python-headless https://pypi.org/project/opencv-contrib-python-headless/#history
#- opencv-contrib-python-headless>=4.7.0.68
#- opencv-contrib-python-headless
#- opencv-python
#- matplotlib
#- scikit-learn
#- notebook
#- seaborn
#- araviq6
#- civiq6
#- cv2PySide6
#- qimage2ndarray
#- numpy