conda常用命令
- 查看當前系統下的環境
conda info -e
- 創建新的環境
# 指定python版本為2.7
conda create -n env_name python=2.7
# 同時安裝必要的包
conda create -n env_name numpy matplotlib python=2.7
- 環境切換
# linux/Mac下需要使用source activate env_name
activate env_name
#退出環境
deactivate env_name
- 移除環境
conda remove -n env_name --all
三、包管理
- 給某個特定環境安裝package有兩個選擇，一是切換到該環境下直接安裝，二是安裝時指定環境參數-n
activate env_nameconda install pandas
# 安裝anaconda發行版中所有的包
conda install anaconda
conda install -n env_name pandas
- 查看已經安裝的package
conda list
# 指定查看某環境下安裝的package
conda list -n env_name
- 查找包
conda search pyqtgraph
- 更新包
conda update numpy
conda update anaconda
- 卸載包
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
參考：https://github.com/conda-forge/tensorflow-feedstock