Virtualenv is a tool to create isolated Python environments.

module load gnu/5.4.0
module load python/2.7.14
module load cuda/8.0.61.2
module list
which python
python2 -m pip install --user --upgrade pip
python2 -m pip install --user virtualenv
mkdir -p "$HOME/local/tools/python/2.7.14/virtualenv/machine-learning"
python2 -m virtualenv "$HOME/local/tools/python/2.7.14/virtualenv/machine-learning"

Activate "machine-learning" virtual environment:

source "$HOME/local/tools/python/2.7.14/virtualenv/machine-learning/bin/activate"

Install packages in "machine-learning" virtual environment:

pip install --upgrade opencv-python Pillow sklearn h5py scikit-image cython easydict

Deactivate "machine-learning" virtual environment:

deactivate

module load gnu/5.4.0
module load python/3.6.3
module load cuda/8.0.61.2
module list
which python
python3 -m pip install --user --upgrade pip
python3 -m pip install --user virtualenv
mkdir -p "$HOME/local/tools/python/3.6.3/virtualenv/machine-learning"
python3 -m virtualenv "$HOME/local/tools/python/3.6.3/virtualenv/machine-learning"

Activate "machine-learning" virtual environment:

source "$HOME/local/tools/python/3.6.3/virtualenv/machine-learning/bin/activate"

Install packages in "machine-learning" virtual environment:

pip install --upgrade opencv-python Pillow sklearn h5py scikit-image cython easydict

Deactivate "machine-learning" virtual environment:

deactivate

#MYVE=~/virtualenvironment   # customize here
MYVE=/hpc/group/T_HPC18A/virtualenvironment 
mkdir -p $MYVE

virtualenv $MYVE/espresso

wget https://github.com/espressomd/release/raw/master/espresso-4.0.0.tar.gz

mkdir -p ~/software-build/applications/espresso/4.0/espresso-4.0.0
mkdir -p ~/software-build/applications/espresso/4.0/espresso-4.0.0-build

cd ~/software-build/applications/espresso/4.0/espresso-4.0.0-build


module load gnu/5.4.0
module load openmpi/1.10.6
module load python/3.6.3 
module load cuda/8.0.61.2
module load hdf5/1.8.17
module load gsl/2.2.1
module load boost/1.63.0
module list

export CC="$(which gcc)"

which python
python3 -m pip install --user --upgrade pip
python3 -m pip install --user virtualenv
mkdir -p "$HOME/local/tools/python/3.6.3/virtualenv/espresso"
python3 -m virtualenv "$HOME/local/tools/python/3.6.3/virtualenv/espresso"

source "$HOME/local/tools/python/3.6.3/virtualenv/espresso/bin/activate"

pip install --upgrade cython
pip install --upgrade -r ~/software-build/applications/espresso/4.0/espresso-4.0.0/requirements.txt

Installing collected packages: urllib3, idna, chardet, certifi, requests, docutils, snowballstemmer, pytz, babel, MarkupSafe, Jinja2, sphinxcontrib-websupport, six, Pygments, pyparsing, packaging, alabaster, imagesize, sphinx, latexcodec, PyYAML, pybtex, pybtex-docutils, oset, sphinxcontrib-bibtex, numpy, biopython, decorator, networkx, GridDataFormats, msgpack, mmtf-python, joblib, scipy, cycler, python-dateutil, kiwisolver, matplotlib, pbr, mock, gsd, MDAnalysis
Successfully installed GridDataFormats-0.4.0 Jinja2-2.10 MDAnalysis-0.19.2 MarkupSafe-1.1.0 PyYAML-3.13 Pygments-2.2.0 alabaster-0.7.12 babel-2.6.0 biopython-1.72 certifi-2018.10.15 chardet-3.0.4 cycler-0.10.0 decorator-4.3.0 docutils-0.14 gsd-1.5.4 idna-2.7 imagesize-1.1.0 joblib-0.13.0 kiwisolver-1.0.1 latexcodec-1.0.5 matplotlib-3.0.2 mmtf-python-1.1.2 mock-2.0.0 msgpack-0.5.6 networkx-2.2 numpy-1.15.4 oset-0.1.3 packaging-18.0 pbr-5.1.1 pybtex-0.22.0 pybtex-docutils-0.2.1 pyparsing-2.3.0 python-dateutil-2.7.5 pytz-2018.7 requests-2.20.1 scipy-1.1.0 six-1.11.0 snowballstemmer-1.2.1 sphinx-1.8.2 sphinxcontrib-bibtex-0.4.0 sphinxcontrib-websupport-1.1.0 urllib3-1.24.1

cmake3 \
~/software-build/applications/espresso/4.0/espresso-4.0.0 \
--help

cmake3 \
-DCMAKE_INSTALL_PREFIX="$HOME/local/tools/python/3.6.3/virtualenv/espresso" \
-DCMAKE_C_COMPILER=/opt/ohpc/pub/compiler/gcc/5.4.0/bin/gcc \
-DCMAKE_CXX_COMPILER=/opt/ohpc/pub/compiler/gcc/5.4.0/bin/g++ \
-DWITH_SCAFACOS=OFF \
~/software-build/applications/espresso/4.0/espresso-4.0.0

make -j6
make -j6 install

deactivate

Original site - examples

hello-mpi-world.py

#!/usr/bin/env python

from mpi4py import MPI

comm = MPI.COMM_WORLD
name=MPI.Get_processor_name()

print "Hello! I'm rank ",comm.rank," on node ", name, " from ", comm.size, " running in total"

comm.Barrier()   # wait for everybody to synchronize _here_

Submission example hello-mpi-world.sh:

#!/bin/bash

#SBATCH --partition=bdw
#SBATCH --output=%x.o%j
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=4
#SBATCH --account=T_HPC18A 

module load gnu7  openmpi3  py2-mpi4py
#module load intel  openmpi3  py2-mpi4py

mpirun  python -W ignore hello-mpi-world.py

Matrix-Vector product:

cp /hpc/group/T_HPC18A/samples/mpi4py/matrix-vector-product.py .
cp /hpc/group/T_HPC18A/samples/mpi4py/matrix-vector-product.sh .
sbatch matrix-vector-product.sh