可以使用conda env config vars set my_var=value设置当前虚拟环境中的自定义环境变量。 但是设置完环境变量后必须重新激活环境conda activate env_name。 如果要查看自定义的环境变量是否设置生效可以用echo %my_var%(在Windows命令行使用%%这种形式)或者conda evn config vars list,conda evn config vars list会列...
...-n your_env_name [package] 6.关闭虚拟环境(即从当前环境退出返回使用PATH环境中的默认python版本) deactivate env_name 或者`activate...remove --name $your_env_name $package_name 9.设置国内镜像 http://Anaconda.org的服务器在国外,安装多个packages时,conda...condaconfig --set show_channel_urls...
(module, func_name)(args, parser) File "/home/ma-user/anaconda3/lib/python3.7/site-packages/conda/cli/main_create.py", line 37, in execute install(args, parser, 'create') File "/home/ma-user/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 265, in install should_...
yml #导入虚拟环境 conda env create -n env_name -f environment.yml #4.清理anaconda缓存 conda clean -p # 删除没有用的包 --packages conda clean -t # 删除tar打包 --tarballs conda clean -y -all # 删除所有的安装包及cache(索引缓存、锁定文件、未使用过的包和tar包) 1.1 设置镜像 ...
conda config --set show_channel_urls yes 大家后续安装的时候,可能会报一些带HTTP的错误信息,有一部分可能是由于镜像源的问题,下边给大家介绍一下镜像相关的一些操作, 1、临时使用一个国内镜像源单独安装一个包的时候 pip install xxx -i channal #中科大源、清华源、豆瓣源 ...
create Create an environment based on an environment definition file. If using an environment.yml file (the default), you can name the environment in the first line of the file with 'name: envname' or you can specify the environment name in the CLI command using the ...
If the value for this boolean is set totrue, the taskcreatesor reactivates a Conda environment instead of using thebaseenvironment. Setting the value totrueis recommended for self-hosted agents. environmentName-Environment name string. Required whencreateCustomEnvironment == true. ...
If the value for this boolean is set totrue, the taskcreatesor reactivates a Conda environment instead of using thebaseenvironment. Setting the value totrueis recommended for self-hosted agents. environmentName-Environment name string. Required whencreateCustomEnvironment == true. ...
conda config -set show_channel_urls yes # 下载时显示下载源 conda create --name Pytorch1.3 python=3.7 # 创建新环境 conda remove -n nlp --all # 删除环境 conda create --name Pytorch1.3 --clone base # 基于已有环境 创建新环境 environment location: /home/guixj/anaconda3/envs/Pytorch1.3 # ...
conda config --set auto_activate_base false 1. 2. 3. 4. 创建并激活一个环境 使用conda create命令,后边跟上你希望用来称呼它的任何名字: conda create --name snowflake biopython 这条命令将会给biopython包创建一个新的环境,位置在/envs/snowflakes ...