How to configure virtual environment in pycharm

pycharm Configure virtual environment steps: 1. Open PyCharm, select File -> Settings to open the settings dialog box; 2. In the settings dialog box, expand Project: [Your Project Name], and then select Python Interpreter ; 3. Click the gear icon in the upper right corner and select Add... to add a new virtual environment.

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, DELL G3 computer.

When using PyCharm for Python development, configuring the virtual environment is a very important step. Virtual environments can help developers manage dependency packages and Python versions of multiple projects on the same machine to avoid conflicts between different projects. Configuring a virtual environment in PyCharm is very simple, and we will explain how to configure it in detail below.

First, open PyCharm and open your Python project. In the project window, select File -> Settings (or PyCharm -> on Mac) Preferences) to open the settings dialog box.

In the settings dialog box, expand Project: [Your Project Name] and select Python Interpreter. In Python On the Interpreter page, you will see the Python interpreter used by the current project.

Next, click the gear icon in the upper right corner and select Add... to add a new virtual environment. In the pop-up dialog box, select "Virtualenv Environment" or "Conda Environment", depending on the type of virtual environment you want to use.

If you select Virtualenv Environment, you need to specify a new virtual environment directory. You can choose to use an already installed Python interpreter, or you can choose to install a new Python interpreter. If you choose Conda Environment, you need to select an existing Conda environment, or create a new Conda environment.

After completing the above steps, click OK to create the virtual environment. PyCharm will create a new virtual environment for your project and display it in the Python Interpreter page.

Now, you can use this virtual environment in your project. You can install dependency packages, run Python scripts, and perform other development tasks in PyCharm, and these operations will be performed in your virtual environment.

In addition, you can also switch existing virtual environments in PyCharm. On the Python Interpreter page, click the gear icon in the upper right corner and select Show All… to view all installed virtual environments. You can select any existing virtual environment and set it as the interpreter for the current project.

In general, PyCharm provides a very convenient way to configure and manage virtual environments. By using a virtual environment, you can better manage your project's dependency packages and Python versions, avoid conflicts between different projects, and improve development efficiency.

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