# The safe practice is to create different environments 
# for different groups of packages used for specific jobs.
# Install 'virtualenv' to manage environments: 
# 	python -m pip install --user virtualenv
# Create a new virtual environment:
#   cd ~/.
#	python -m venv appmlenv
# Activate the environment (from environment directory):
#	source appmlenv/bin/activate
# Install recommended packages: 
#	pip install -r requirements.txt
#
# * To deactivate 'appmlenv':
#	deactivate
# * To remove 'appmlenv':
#	rm -rf appmlenv
# List of packages:
#
# notebook==6.4.6
numpy==1.26.4
scipy==1.13.0
matplotlib==3.8.4
pandas==1.4.1
h5py==3.10.0
scikit-learn==1.4.2
xgboost==1.5.2
lightgbm==4.3.0
seaborn==0.13.2
tensorflow==2.16.1
torch
torchvision
torchaudio
torch-geometric