# 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 ~/.
#	python3.12 -m venv appmlenv
# Python3.12 should be native to the latest Mac/Ubuntu or Windows release.
# If not you can try (for Linux users) the following thing 
# But DON'T HESITATE TO CONTACTE ONE OF THE TA's
# You can do this the following way:
# sudo apt update
# sudo apt install -y software-properties-common
# sudo add-apt-repository ppa:deadsnakes/ppa
# sudo apt update
# sudo apt install -y python3.12 python3.12-venv python3.12-dev
# 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:
h5py==3.13.0
ipywidgets==8.1.6
lightgbm==4.6.0
matplotlib==3.10.1
notebook==7.4.1
numpy==2.1.3
pandas==2.2.3
scikit-learn==1.6.1
scipy==1.15.2
seaborn==0.13.2
tensorflow==2.19.0
torch==2.6.0
torch-geometric==2.6.1
torchaudio==2.6.0
torchvision==0.21.0
xgboost==3.0.0