Comprehensive list of commonly used anaconda commands (recommended collection for nanny level)

1. Create a virtual environment

conda  create  --name  env_name

conda  create  --name  env_name python=3.6 # 创建指定python版本

conda  create  --name  env_name python=3.6 pandas numpy scipy # 创建指定python版本下包含某些包

2. Activate/use/enter a virtual environment

activate  env_name

3. Exit the current environment

deactivate

4. Copy a virtual environment

conda  create  --name  new_env_name  --clone  old_env_name

5. Delete an environment

conda  remove  --name  env_name  --all

6. View all current environments

conda  info  --envs   或者  conda  env  list

7. View all installation packages in the current virtual environment

conda  list  需进入该虚拟环境

conda  list  -n  env_name

8. Install or uninstall the package (after entering the virtual environment)

conda  install  requests
conda  install  xx=版本号  # 指定版本号
conda  install  xxx -i 源名称或链接 # 指定下载源
conda  uninstall  xxx

9. Share virtual environment

conda env export > environment.yml  # 导出当前虚拟环境
conda env create -f environment.yml  # 创建保存的虚拟环境

10. Source server management

The current source settings of conda are in $HOME/.condarc, which can be viewed through a text viewer or using the command >conda config --show-sources.

conda config --show-sources #查看当前使用源
conda config --remove channels 源名称或链接 #删除指定源
conda config --add channels 源名称或链接 #添加指定源

For example:

conda config --add channels  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/

Domestic pip source

Alibaba Cloud http://mirrors.aliyun.com/pypi/simple/

University of Science and Technology of China https://pypi.mirrors.ustc.edu.cn/simple/

Douban http://pypi.douban.com/simple/

Tsinghua University https://pypi.tuna.tsinghua.edu.cn/simple/

University of Science and Technology of China http://pypi.mirrors.ustc.edu.cn/simple/

11. Upgrade

To upgrade Anaconda, you need to upgrade conda first.

conda  update  conda
conda  update  anaconda

12. Uninstall

rm  -rf  anaconda

13. Export all components in the virtual environment in batches

conda list -e > requirements.txt  # 导出
conda install --yes --file requirements.txt  # 安装

14. pip batch exports all components in the environment

pip freeze > requirements.txt
pip install -r requirements.txt

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