python2.7和python3.9.14，默认是3.9.14

pull to use tensorflow with python2.7 using CPU

nvidia/cuda-8.0-cudnn6-devel-ubuntu16.04 python2.7 torch pytorch tensorflow-gpu 1.4 deepspeech-gpu

Simple Python2.7 runtime with troposphere and awacs libraries installed.

a python env based on ubuntu20, install with python3.8 & python2.7 with pip3 & pip2, nearly 815MB

python2.7 + django 1.11.7 + all utills of django and python

An Image containing Python2.7 and web crawling libraries such as requests, bs4, lxml and Scrapy

安装python2.7环境，ipabase，用来定时发日志

Images for Raspbian with OpenCV version 2.4.13 and Python2.7 and Python3 bindings

ubuntu:20.04 with add tools - without python3* - with python2.7 + pip

Ubuntu 16.04: git, python2.7, pip, phantomjs, syslog, strace. Run the image, add a password & commit

gpmp2-anaconda2-python2.7-boost 4.8-cmake 3.2 + 5900:5900 vncViewer+ 2222:22 ssh

The image is equipped with a python2.7 compatible version of mercurial (mercurial==4.7).

Python的镜像 包含python2.7和python3.6两个版本。

Ubuntu14.04 with python2.7 and python libs installed for pp scanning and linkedin scanning

Anaconda Python2.7 with GDAL, docx, pyhdf, tkinter and matplotlib with Qt5 backend.

cuda10.0+cudnn7+anaconda3+python2.7/3.7+tensorflow-gpu2.3.1/1.14.0+pytorch1.7.0/1.2.0

基于Debian stretch 版本, 安装了python2.7 python3.6.5,以及常用库

Specialized build image - no one needs this - python2.7 + make + python-dev + npm + tox==2.7.0

该镜像安装了ssh、python2.7、3.4、3.6等编译环境

Based on CentOS system, py3.6 environment is built without destroying python2.7

以centos7为基础镜像,安装python3.6.6, 保留原来的python2.7以支持系统的yum请勿用于生产下java环境部署应用

finance/python27-data

finance

python2.7相关的常用模块。再基本的模块之上封装了matplotlib，numpy，pandas，tushare等模块，可以很方便的进行数据分析

centos6和centos7环境包含python2.7和python3.6及pip2和pip3环境