以下为阿里算法平台的推荐版本为：
python==3.6 tensorflow==1.13.1（cpu & gpu） torch==1.5.0 prophet==1.0.1 cuda==10.0 tfplus==1.0.9 penrose=2.0.0
常见包安装：
Python 3.6.5 python -m pip install --index-url https://pypi.tuna.tsinghua.edu.cn/simple tensorflow==1.13.1 python -m pip install --index-url https://pypi.tuna.tsinghua.edu.cn/simple torch==1.5.0
安装包pytorch指定源和版本：
- 首先去源地址确定有的版本：https://pypi.tuna.tsinghua.edu.cn/simple/pytorch/
安装python 3.6
# python 3.6
export PATH=${PATH}:/Users/yonglang/anaconda3/python.app/Contents/bin
alias python="/Users/yonglang/anaconda3/python.app/Contents/MacOS/python"
alias pip="/Users/yonglang/anaconda3/python.app/Contents/MacOS/pip3"
源地址：
中国科技大学 https://pypi.mirrors.ustc.edu.cn/simple/ 阿里云 http://mirrors.aliyun.com/pypi/simple/ 豆瓣(douban) http://pypi.douban.com/simple/ 清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/ 中国科学技术大学 http://pypi.mirrors.ustc.edu.cn/simple/
Anaconda
#anaconda地址 https://repo.anaconda.com/archive/ https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ python 3.6 <----> Anaconda3 5.2 [推荐]
Tensorflow
https://www.tensorflow.org/install
中文使用教程：https://zhuanlan.zhihu.com/p/59507137
https://github.com/czy36mengfei/tensorflow2_tutorials_chinese
英文教程：https://github.com/Hvass-Labs/TensorFlow-Tutorials
Deepo
【深度学习环境镜像】
https://hub.docker.com/r/ufoym/deepo/#CPU
https://github.com/ufoym/deepo.git
-- cpu version --
Installation
Step 1. Install Docker.
Step 2. Obtain the all-in-one image from Docker Hub
docker pull docker.mirrors.ustc.edu.cn/ufoym/deepo:cpu
docker run -it docker.mirrors.ustc.edu.cn/ufoym/deepo:cpu bash
exit
[Recommend]--->
docker run -it -v /Users/yonglang/PycharmProjects:/mnt docker.mirrors.ustc.edu.cn/ufoym/deepo:cpu bash
Jupyter support
Step 1. pull the image with jupyter support
docker pull ufoym/deepo:all-jupyter
Step 2. run the image
docker run -it -p 8888:8888 -p 8022:22 --ipc=host ufoym/deepo:all-jupyter jupyter notebook --no-browser --ip=0.0.0.0 --allow-root --NotebookApp.token= --notebook-dir='/root'
然后打开: http://localhost:8888/
上传文件：
https://blog.csdn.net/wzw2887/article/details/120469027
标签：cn,Python,环境,python,开发,https,edu,--,docker From： https://www.cnblogs.com/chihaoyuIsnotHere/p/17004487.html