anaconda- establish and manage python virtual environment

The purpose of creating a virtual environment is to allow the project to run in an independent local Python environment, so that projects in different environments do not interfere with each other.

At present, I use the virtual environment only to switch between python2 and python3. Go deeper, you can use it later.

1 View the virtual environment

You can enter the following command to see how many virtual environments have been installed in the current system.

conda env list

My result is

# conda environments: 
# 
base                     /home/my_name/anaconda3 
cvxpy                 *  /home/my_name/anaconda3/envs/cvxpy 
python27                 /home/my_name/anaconda3/envs/python27

2 Basic operation

2.1 Create a new virtual environment

Suppose we want to create a virtual environment called myenv, and install the version of python 3.5, we can enter the following command.

conda create --name myenv python=3.5

2.2 Start and close the virtual environment

activate myenv #启动虚拟环境myenv
deactivate#结束当前虚拟环境

2.3 Delete virtual environment or package

To delete a package in the virtual environment (for example, numpy in the virtual environment myenv just created), you can enter the following command

conda remove --name myenv numpy

If you want to delete the entire virtual environment, you can enter the following command to complete the deletion

conda env remove --name myenv

references:

Use conda to create and manage a python virtual environment. Learn how to use conda to create an independent and suitable virtual environment for each project with different needs | by MAPE Academy | Python4U | Medium