###python3.6.8###
###查询最新版本 https://pypi.org/search/?q=numpy
###或者$pip3 search tensorflow | egrep "^.*tensorflow.*\("
###usage(以下常用lib需要手工执行更新):
##让PIP源使用国内镜像，提升下载速度和安装成功率。https://www.cnblogs.com/microman/p/6107879.html
##别再使用pip安装TensorFlow了！用conda吧～ https://www.jiqizhixin.com/articles/2018-10-12-2
##pip或pi3安装$pip install -U tensorflow-gpu>=2.0.0-beta1 -i https://pypi.tuna.tsinghua.edu.cn/simple (清华加速pip源可用)
###手工升级$pip3 install -U tensorflow-gpu==2.0.0-beta1 -i https://pypi.douban.com/simple
###手工升级$pip3 install -U tensorflow-hub==0.1.1 -i https://pypi.douban.com/simple
###遵照https://pytorch.org/页面提示手工升级$pip3 install -U torch torchvision -i https://pypi.douban.com/simple
###手工升级$pip3 install -U numpy==1.15.2 -i https://pypi.douban.com/simple
###手工升级$pip3 install -U pandas==0.23.4 -i https://pypi.douban.com/simple
###手工升级(需要才升级):$sudo pip3 install -U h5py
############
##重要的版本号
#tensorflow==2.0.0-beta1 # tensorflow-gpu==2.0.0-beta1
#tensorflow-datasets>=1.0.1 # 依赖$pip install siphash
#torch>=1.1.0   # pip3 install -U torch>=1.1.0; pip3 install -U torchvision>=0.3.0
#torchvision>=0.3.0  # see https://github.com/pytorch/vision/releases
############
#py-common-util>=0.0.49

