Python's virtualenv virtual environment FAQ and commands

Commonly used venv commands

In Python, thevenvis a module for creating and managing virtual environments. Virtual environments can help you isolate different Python packages and dependencies between projects. Here are some commonly usedvenvCommand:

Create a virtual environment:

#Configured
python3 -m venv myenv
python -m venv myenv

This will create a file in the current directory calledmyenvof the virtual environment.

Activate the virtual environment:

On Windows:

./venv/Scripts/activate

On macOS and Linux:

source myenv/bin/activate

After you activate the virtual environment, the Python commands you run in the terminal will use the Python interpreter and packages from the virtual environment.

Verify successful activation

• fulfillmentpip list to see if the dependency is global or the current virtual environment.
• Is the command line preceded by（venv） Logo.

Exit the virtual environment:

Execute in a virtual environmentdeactivte , which will exit the currently active virtual environment.

View installed packages:

pip list

This will list the Python packages that are currently installed in the virtual environment.

Install the package:

pip install package_name
pip install -i /pypi/simple package_name

This will install the specified Python package in the current virtual environment.

Export dependencies:

pip freeze > 

This will export all packages and their versions from the current virtual environment to thefile to rebuild the same dependencies in other environments.

common problems

Under a python project, there is a folder venv and the folder is red in pycharm, what virtual environment is this project using?

In PyCharm, the project directory under the redvenv folder usually indicates that the project is using Python'svirtualenv Virtual environments.virtualenv is a Python virtual environment management tool that allows you to create multiple Python environments on the same machine to isolate individual projects from each other and avoid interference or conflicts.

When we create a new project, we can choose to automatically create a virtual environment in PyCharm so that we can avoid environment conflicts when running multiple projects on the same machine. When you open a project in PyCharm, if the project uses a virtual environment, it will display a redvenv Folder.

If you want to confirm that the project is indeed using a virtual environment, you can look at the project'svenv/bin directory and whether the virtual environment is configured in PyCharm's Project Interpreter. The method is as follows:

• Open PyCharm and open the project;
• Click on the menu barFile -> Settings -> Project:Project Name -> Project Interpreter；
• On the right, you can see the Python interpreter used by the current project, and the Interpreter Path where that interpreter is located. If the path isProject root directory /venv/bin/python, then it means that the project uses thevenv Virtual environments.

Alternatively, you can use terminal commands to view the virtual environment used by the project. In the project root directory, enter the following command to view the current Python version of the virtual environment:

source venv/bin/activate
python --version

Among them.source venv/bin/activate command to activate the virtual environment.python --version command displays the current Python version. If the version of Python in the virtual environment is displayed, you can confirm that the project is using a virtual environment.

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