# 4.2. Anaconda environments Anaconda Python 3.7 for VIDIA has been loaded. Python Quantum Chemistry packages have been installed into conda environments. Initialize the conda environment, list the available environments and activate the one that you want to use as follows: module load vidia/quantum-chemistry-py37-Fall2019 Then eval "$(/util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/bin/conda shell.bash hook)" This will provide an access to the following environments: conda info --envs * base * /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10 * libra-py3dmol /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/libra-py3dmol * psi4 /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/psi4 * pyglet /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/pyglet * pyquante2 /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/pyquante2 * pyscf /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/pyscf * qmflows /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/envs/qmflows Then just activate the needed environment by: conda activate environment-name Replace ``environment-name`` with the actual name of one of the available environments: Example: (base) [cdc@vortex1:~]$ conda activate libra-py3dmol (libra-py3dmol) [cdc@vortex1:~]$ echo $LD_LIBRARY_PATH /util/academic/vidia/quantum-chemistry/2019Fall/py37/anaconda-2019.10/lib:/util/academic/vidia/quantum-chemistry/2019Fall/py37 /Libra/libra-code/build/src