Python Conda Tips

#Create a virtual environment(something like virtualenv)
conda create -n my_env numpy scipy

#Display a list of virtual environments
conda info -e

#Enable virtual environment
activate my_env # Windows
source activate my_env # Max/Linux

#Additional installation in virtual environment(When specifying the version conda install scipy=0.12.0 etc.)
conda install scikit-learn

#Install with pip for things that can't be obtained with conda(Support by putting pip in the virtual environment)
conda install pip
pip install Flask

#Export the library installed by conda
conda list --export > conda_requirements.txt

#Update installed packages(conda itself is conda update conda)
conda update numpy

#Disable virtual environment
deactivate # Windows
source deactivate # Max/Linux

#Create a virtual environment from a file
conda create -n my_new_env --file conda_requirements.txt

#It seems that conda env export is good to use these days
conda env export > environment.yml
conda env create -f environment.yml

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