An image made off python2.7 with ssh, tox and some libraries addition

OpenMPI3.1+YML2.3 images based on Debian Stretch, Python2.7 mpi4py with mpi benchmarks

Centos6 with Development Tools preinstalled and Python2.7/PIP2 support.

Firefox, Python2.7, and Pip. You can build selenium on top of this.

Build for using boost.python, boost.numpy, Python2.7+ and the NTRTsim

It is base image, the Image contains python2.7/NodeJs

My base image with Python2.7 and AWS CLI on ubuntu.

bossnode/docker-dev

bossnode

Dev Machine python2.7, virtualenv, flask, apache2 , and mysql-server-5.7. Based of ubuntu:18.04

Quantum Espresso ver 6.3 docker image including python2.7 and python3.7, and ASE

ARM7: python2.7, tenserflow 0.9.0, Theano 0.8.2, keras 1.1.2, pandas 0.19 and Jupyter notebook

Docker image to run selenium3 tests with headless chrome and python2.7

ubuntu18.04, sourcelist, python2.7, python3.7, for yoloDetect(darknet)

python developing environment on centOS6.9 including mysql5.7, nginx and pyenv(python2.7, python3.5)

fedora25 with python2.7, python3.x, virtualenv and aws chalice installed

docker install pytorch(torch torchvision) from python2.7

Debian + Apache Jmeter 2.13 (with JRE). Tag 'master' contains python2.7 as well.

jnlp slave for jenkins with python2.7 and virtualenv (virtual env + zip for create lambda zip)

this centos6.5 has installed gcc5.3 cmake3.10 python2.7

finance/centos6.8-python27

finance

python2.7 自带django1.10 同时具备模块以及pip ipython等

docker install tensorflow and keras from python2.7

内置java8,python2.7,datax3.0

Python2.7 和 python 3.6 的基础环境

python2.7 base image with ghostscript, libreoffice and poppler-utils installed ontop

Python2.7 with few packages installed. eg: numpy, pandas, opencv, cython

aws lambda python2.7 runtime, which contains basic tools to help you deploy by using cloudformation.

系统：centos7 工具：python2.7 jdk1.8 mysql5.7 datax2.1.2 datax-web2.1.2

基于jupyter/minimal_notebook，增加python2.7支持

This image based from ubuntu. python2.7 git curl had installed

This repository helps you create a simple container to run a Python2.7 + Flask application for openshift, in a docker container.

Small docker image (near 500 megabytes), with build-in OpenCV for Python2.7/3.6