Create Python Environment¶
Here, we explain how to use the "virtualenv" command 1 within the Command Line Interface (CLI) to assemble some commonly used python packages for materials science computations into a virtual environment. These packages include the "pymatgen", "pandas" and "atomic simulation environment (ase)" libraries.
Default version of python is 2.7.5
By default the system-wide version of python is used.
Using Virtual Environment¶
virtualenv command can be used by following the instructions presented in its official website 1. The installation of a new python package consists of the following sequence of commands, where we also make use of the
pip package manager 2 (already installed by default).
virtualenv .virtualenv source .virtualenv/bin/activate
At this point the CLI prompt will change to reflect that the virtual environment is installed and will look similar to:
Next, let's install the desired package(s). Here we use "pymatgen", further explained below:
pip install pymatgen
Check that installation is successful (exit code of zero means everything OK):
python -c "import pymatgen" && echo $? 0
Now one can execute the scripts requiring the installed package as follows, for example:
In order to disable the virtual environment and return to the original default command line, enter the following.
Example Python Packages¶
We support the following python packages in our platform.
Python Materials Genomics (pymatgen) 3 is a materials analysis code that defines core object representations for crystal structures and molecules, with support for many electronic structure codes. It is currently the core analysis engine powering the Materials Project 4 online database of material structures.
Pandas is a python software library for data manipulation and analysis 5. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Atomic Simulation Environment¶
The Atomic Simulation Environment (ASE) is a set of tools and python modules for setting up, manipulating, running, visualizing and analyzing atomistic simulations 6.