Project Interpreter
for OS X
Ctrl+Alt+S
Use this page to select Python interpreter for each of the projects opened in the same window.
In this section:
Projects pane
Item | Description |
---|---|
Projects | This pane displays the list of projects, opened in the same window. The first project in the list is the primary project. |
This pane is not shown, if there is only one open project.
Interpreters
Item | Description |
---|---|
Project Interpreter | For the project, selected in the Projects pane, choose Python interpreter from the drop-down list.
The interpreters in the list are configured using the |
Path mappings | This field in only available for the
remote interpreters!
This field shows read-only mappings between the desired local path and the corresponding remote path.
PyCharm allows configuring paths by clicking |
![]() | Click this button to reveal the list of available types of interpreters:
![]() From the list, choose the one to be added:
|
Packages
This table shows the packages installed locally.
Item | Description |
---|---|
Package | This column shows the list of packages residing in the accessible remote repositories. For each package you can view its name and repository. Additional information is displayed at the tooltip. |
Version | This column shows the currently installed version of a package. |
Latest | This column shows the latest available versions of the packages. If a version is outdated and the package can be upgraded, ![]() |
Packages toolbar
Item | Tooltip and shortcut | Description |
---|---|---|
![]() | Install Alt+Insert | Click this button to install a new package from the accessible remote repositories. |
![]() | Uninstall Alt+Delete | Click this button to uninstall the selected local package. |
![]() | Upgrade | Click this button to install the latest available version of a package. This button is only available for the outdated package versions. |
The buttons on this toolbar are disabled for the Docker interpreters:

All the packages should be already installed in the Docker image. If some packages are missing, then you will have to create a new Docker image, as described on the page Quickstart Guide: Compose and Django.