1.新建虚拟环境
conda create --name 环境名称 pytohn=python的版本
eg: conda create --name kits pytohn=3.7
2.激活环境
source activate 环境名称
3.查看当前存在哪些虚拟环境
conda env list 或 conda info -e
4.删除虚拟环境
conda remove -n your_env_name(虚拟环境名称) --all
5.设置国内镜像 如果需要安装很多packages，你会发现conda下载的速度经常很慢，用清华源镜像会比较快。
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --set show_channel_urls yes
6.安装所需要的包
conda install pytorch==版本 torchvision cudatoolkit=9.0
7.安装nibabel经常出现如下错误：
PackagesNotFoundError: The following packages are not available from current channels:
- nibabel
Current channels:
- https://conda.anaconda.org/derickl/win-64
- https://conda.anaconda.org/derickl/noarch
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/win-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
解决方法： 首先输入
anaconda search -t conda lifelines
这样子就会显示可用的版本 ，我的显示效果如下所示：
输入的命令为
conda install -c https://conda.anaconda.org/conda-forge nibabel（自己选择合适的）
