Alternatively, click the icon and select Show All. Press Ctrl+Alt+S to open the IDE settings and select Project | Python Interpreter.Įxpand the list of the available interpreters and click the Show All link. To easily tell them from each other, use different names. You can create as many virtual environments as required. Check the Python path and install a new version, if needed. If P圜harm displays the Invalid environment warning, it means that the specified Python binary cannot be found in the file system, or the Python version is not supported. The selected virtual environment will be reused for the current project. If the desired interpreter is not on the list, click, and then browse for the desired Python executable (for example, venv/bin/python on macOS or venv\Scripts\python.exe on Windows).
This checkbox corresponds to the -system-site-packages option of the virtualenv tool.Ĭhoose the desired interpreter from the list. Select the Inherit global site-packages checkbox if you want all packages installed in the global Python on your machine to be added to the virtual environment you're going to create. The directory for the new virtual environment should be empty.Ĭhoose the base interpreter from the list, or click and find the desired Python executable in your file system. Specify the location of the new virtual environment in the Location field, or click and browse for the desired location in your file system. The following actions depend on whether you want to create a new virtual environment or to use an existing one. In the left-hand pane of the Add Python Interpreter dialog, select Virtualenv Environment. Click the Add Interpreter link next to the list of the available interpreters. Click the Add Interpreter link next to the list of the available interpreters.Ĭlick the Python Interpreter selector and choose Interpreter Settings. Press Ctrl+Alt+S to open Settings and go to Project: | Python Interpreter. Create a virtualenv environmentĬlick the Python Interpreter selector and choose Add New Interpreter.
virtualenv tool comes bundled with P圜harm, so the user doesn't need to install it.įor Python 3.3+ the built-in venv module is used, instead of the third-party virtualenv utility. The main purpose of virtual environments is to manage settings and dependencies of a particular project regardless of other Python projects. P圜harm makes it possible to use the virtualenv tool to create a project-specific isolated virtual environment.
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