conda 管理 python 版本

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