Conda some common instructions about the environment

Reprinted from commonly used commands in the conda environment

In different projects, conda is often needed to configure the environment, which can realize the random switching of different versions of python and libraries, and reduce a lot of unnecessary troubles. Some basic commands commonly used by conda are recorded here for subsequent queries

1. Query conda version

conda -V

2. Query all conda environments

conda info -e

3. Create a new conda environment

# conda create --name [环境名] python=[python版本]
conda create --name conda_name python=3.7.13

4. Enter the corresponding conda environment

# conda activate [环境名]
conda activate conda_name

5. Exit the current conda environment

conda deactivate

6. Add libraries to the conda environment

Take installing tensorflow-gpu as an example, the operation is similar to pip installation

conda install tensorflow-gpu==1.15.4

7. Delete the corresponding conda environment

When deleting an environment, exit from that environment first

# conda remove -n [环境名] --all
conda remove -n conda_name --all

8. clone environment

(a). Clone a new environment according to the environment name

# conda create -n [新环境名称] --clone [现有环境名称]
conda create -n new_name --clone conda_name

(b). Copy and generate a new environment according to the environment path.
If the existing environment path is C:\Python\Anaconda3\envs\huggingface, the new environment to be generated is named B, as in the following example:

# conda create -n [新环境名称] --clone [现有环境地址]
conda create -n new_name --clone C:\Python\Anaconda3\envs\huggingface

The location of the generated new environment is under the installation path of anaconda, as in the example, it is in the location of C:\Python\Anaconda3\envs