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和python3.9.14，默认是3.9.14

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

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

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

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

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

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

该镜像安装了ssh、python2.7、3.4、3.6等编译环境

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