conda常用命令
- 查看当前系统下的环境
conda info -e
- 创建新的环境
# 指定python版本为2.7
conda create -n env_name python=2.7
# 同时安装必要的包
conda create -n env_name numpy matplotlib python=2.7
- 环境切换
# linux/Mac下需要使用source activate env_name
activate env_name
#退出环境
deactivate env_name
- 移除环境
conda remove -n env_name --all
三、包管理
- 给某个特定环境安装package有两个选择,一是切换到该环境下直接安装,二是安装时指定环境参数-n
activate env_nameconda install pandas
# 安装anaconda发行版中所有的包
conda install anaconda
conda install -n env_name pandas
- 查看已经安装的package
conda list
# 指定查看某环境下安装的package
conda list -n env_name
- 查找包
conda search pyqtgraph
- 更新包
conda update numpy
conda update anaconda
- 卸载包
conda remove numpy
Installing tensorflow
from the conda-forge
channel can be achieved by adding conda-forge
to your channels with:
conda config --add channels conda-forge
Once the conda-forge
channel has been enabled, tensorflow
can be installed with:
conda install tensorflow
It is possible to list all of the versions of tensorflow
available on your platform with:
conda search tensorflow --channel conda-forge
参考:https://github.com/conda-forge/tensorflow-feedstock