shelvia1039/Building_Image:jupyter

$ singularity pull shub://shelvia1039/Building_Image:jupyter

Singularity Recipe

BootStrap: docker
From: ubuntu:16.04

%post
    # make mount points
    mkdir /scratch /data /secure /seq
    # install deps
    apt-get update && apt-get install -y --no-install-recommends \
        python3 \
        python3-dev \
        python3-pip \
        python3-setuptools \
        python \
        python-dev \
        python-pip \
        python-setuptools \
        build-essential \
        gcc-multilib
    apt-get clean
    #install python pkgs
    pip install --no-cache-dir --upgrade pip==9.0.3
    pip3 install --no-cache-dir --upgrade pip==9.0.3
    pip install jupyter ipykernel scipy numpy pandas matplotlib biopython jupyterlab seaborn
    pip3 install jupyter ipykernel scipy numpy pandas matplotlib biopython jupyterlab seaborn
    
    touch /usr/bin/nvidia-smi

Collection


View on Datalad

Metrics

key value
id /containers/shelvia1039-Building_Image-jupyter
collection name shelvia1039/Building_Image
branch master
tag jupyter
commit 4d8df7b99687bb40f9df5f7176ea89b03844a930
version (container hash) 1571036e01bce8e956e24e4d8254c932
build date 2019-03-15T09:03:37.594Z
size (MB) 1503
size (bytes) 575434783
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
We cannot guarantee that all containers will still exist on GitHub.