To work with your Python code in PyCharm, you need to configure at least one interpreter. A system interpreter is the one that comes with your Python installation. You can use it solely for all Python scripts or take it as a base interpreter for Python virtual environments.
Configure a system Python interpreter
Ensure that you have downloaded and installed Python on your computer.
If you are on Windows, you can download Python from the Microsoft Store and install it as a Python interpreter. Once the Python application is downloaded from the Microsoft Store, it becomes available in the list of the Python executables. Note that interpreters added from the Microsoft Store installations come with some limitations. Because of restrictions on Microsoft Store apps, Python scripts may not have full write access to shared locations such as TEMP and the registry.
Press Ctrl+Alt+S to open the project Settings/Preferences and go to Project: <project name> | Python Interpreter. Click the Add Interpreter link next to the list of the available interpreters.
Select Add Local Interpreter from the list of the available interpreter types.
In the left-hand pane of the Add Python Interpreter dialog, select System Interpreter.
In the Interpreter field, type the fully-qualified path to the required interpreter executable, or click and in the Select Python Interpreter dialog that opens, choose the desired Python executable and click OK.
When configuring the base interpreter, you need to specify the path to the Python executable. If PyCharm detects no Python on your machine, it provides the following options:
Specify a path to the Python executable (in case of non-standard installation)
Download and install the latest Python versions from python.org
Install Python using the Command-Line Developer Tools (macOS only).
You will need admin privileges to install, remove, and upgrade packages for the system interpreter. When attempting to install an interpreter package through an intention action, you might receive the following error message: As prompted, consider using a virtual environment for your project.
Click OK to complete the task.
For any of the configured Python interpreters (but Docker-based), you can:
and in the Select Python Interpreter dialog that opens, choose the desired Python executable and click OK.
