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Jetbrains pycharm professional 2016.2.3
Jetbrains pycharm professional 2016.2.3




Click on Settings 3.įor each interpreter, you can install, upgrade, and delete Python packages. You can download Package from the Pycharm IDE 1. The plugin is bundled and enabled by default.

jetbrains pycharm professional 2016.2.3 jetbrains pycharm professional 2016.2.3

P圜harm provides Docker support using the Docker plugin. The following is only valid when Docker Integration and Python Docker plugins are installed and enabled! Docker enables developers to deploy applications inside containers for testing code in an environment identical to production. Make sure that the following prerequisites are met: Docker is installed, as described on the page Docker Docs. P圜harm integration with Docker allows you to run your applications in the variously configured development environments deployed in Docker containers. To specify a custom repository, including devpi or PyPi, click Manage Repositories.Ĭonfigure an interpreter using Docker Introduction. In the Available Packages dialog that opens, preview the list of the available packages. Install a package Click the button on the package toolbar. P圜harm Docker interpreter install package The connection settings depend on your Docker version and operating system. Click to add a Docker configuration and specify how to connect to the Docker daemon. Click the icon and select Add.Ĭonfigure the Docker daemon connection settings: In the Settings/Preferences dialog Ctrl+Alt+S, select Build, Execution, Deployment | Docker. In the Settings/Preferences dialog Ctrl+Alt+S, select Project | Python Interpreter.

jetbrains pycharm professional 2016.2.3

To add a new interpreter to the current project: Press Ctrl+Alt+S to open the project Settings/Preferences.

jetbrains pycharm professional 2016.2.3

Click the widget and select Add Interpreter If you are in the Settings/Preferences dialog Ctrl+Alt+S, select Project | Python Interpreter. Open the Add Python Interpreter dialog by either way: When you're in the Editor, the most convenient way is to use the Python Interpreter widget in the Status bar. Click this button and see the docker containers: Let's look at this tool window more attentively. If you have configured Docker as a remote interpreter, you will see the Services tool window button at the bottom side of the main P圜harm window. You can use the Docker tab in the Services tool window as the UI for the Docker command-line client.






Jetbrains pycharm professional 2016.2.3