Phpstorm Python

Posted : admin On 1/2/2022
  1. Phpstorm Python Download
  2. Python Phpstorm Syntax
  3. Pycharm Community Download

The following is only valid when the Python plugin is installed and enabled.

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To create an empty project:

  1. From the main menu, choose File New Project or on the Welcome screen, click New Project.

    New Project dialog opens.

  2. In the left-hand pane of the New Project dialog, select Python as a project type.

  3. In the right-hand pane, specify the project SDK. If the desired SDK is missing in the list, click New and create one of the following Python SDK:

    1. In the left-hand pane of the Add Python Interpreter dialog, select Virtualenv Environment. The following actions depend on whether the virtual environment existed before.

      If New environment is selected:

      1. Specify the location of the new virtual environment in the text field, or click and find location in your file system. Note that the directory where the new virtual environment should be located, must be empty!

      2. Choose the base interpreter from the list, or click and find a Python executable in the your file system.

        If IntelliJ IDEA detects no Python on your machine, it provides two options: to download the latest Python versions from python.org or to specify a path to the Python executable (in case of non-standard installation).

      3. Select the Inherit global site-packages checkbox if you want that all packages installed in the global Python on your machine to be added to the virtual environment you're going to create. This checkbox corresponds to the --system-site-packages option of the virtualenv tool.

      4. Select the Make available to all projects checkbox, if needed.

      If Existing environment is selected:

      1. Expand the Interpreter list and select any of the existing interpreters. Alternatively, click and specify a path to the Python executable in your file system, for example, C:Python36python.exe.

      2. Select the checkbox Make available to all projects, if needed.

    2. Click OK to complete the task.

    1. In the left-handed pane of the Add Python Interpreter dialog, select Pipenv.

    2. If you have added the user base’s binary directory to your PATH environmental variable, you don't need to set any additional options: the path to the pipenv executable will be autodetected.

    3. Click OK to complete the task.

    4. If you have not modified the PATH variable, IntelliJ IDEA shows an error message: Pipenv executable is not found. Discover the proper executable path as described in the pipenv installation procedure and enter the target string in the Pipenv executable field, for example: C:UsersjetbrainsAppDataRoamingPythonPython37Scriptspipenv.exe (Windows) or /Users/jetbrains/.local/bin/pipenv (macOS).

      Click OK to save the changes and complete the task.

    1. In the left-hand pane of the Add Python Interpreter dialog, select Conda Environment. The following actions depend on whether the Conda environment existed before.

      If New environment is selected:

      1. Specify the location of the new Conda environment in the text field, or click and find location in your file system. Note that the directory where the new Conda environment should be located, must be empty!

      2. Select the Python version from the list.

      3. Specify the location of the Conda executable file in the text field, or click and find location in the Conda installation directory. You're basically looking for a path that you've used when installing Conda on your machine.

      4. Select the Make available to all projects checkbox, if needed.

      If Existing environment is selected:

      1. Expand the Interpreter list and select any of the existing interpreters. Alternatively, click and specify a path to the Conda executable in your file system, for example, C:UsersjetbrainsAnaconda3python.exe.

      2. Select the checkbox Make available to all projects, if needed.

    2. Click OK to complete the task.

    1. In the left-hand pane of the Add Python Interpreter dialog, select System Interpreter.

    2. In the Interpreter field, type the fully-qualified path to the required interpreter executable, or click and in the Select Java Interpreter dialog that opens, choose the desired Java executable and click OK.

      If IntelliJ IDEA detects no Python on your machine, it provides two options: to download the latest Python versions from python.org or to specify a path to the Python executable (in case of non-standard installation).

      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.

    3. Click OK to complete the task.

    1. In the left-hand pane of the Add Python Interpreter dialog, click SSH Interpreter.

    2. In the right-hand pane select New server configuration, then specify server information (host, port, and username).

      Alternatively, you can select Existing server configuration and choose any available deployment configuration from the list.

      If needed, click to review the Connection settings, Mappings, and Excluded paths for the selected deployment configuration. Click Next to continue configuring an interpreter.

    3. In the next dialog window, provide the authentication details to connect to the target server.

      Select Password or Key pair (OpenSSL or PuTTY) and enter your password or passphrase.

      Click Next to proceed with the final configuration step.

    4. In the next dialog window, verify the path to the desired Java interpreter. You can accept default, or specify a different one. You have to configure the path mappings between your local project and the server. To do that, click next to the Sync folders field and enter the path to the local project folder and the path to the folder on the remote server.

      You can also select the lowest checkbox to enable automatic upload of the local changes to the remote server.

    1. In the left-hand pane of the Add Python Interpreter dialog, click Vagrant:

    2. Click the browse button next to the field Vagrant instance folder, and specify the desired Vagrant instance folder.

      This results in showing the link to Vagrant host URL.

    3. The Python interpreter path field displays the path to the desired Python executable. You can accept default, or specify a different one.

    4. Click OK. The configured remote interpreter is added to the list.

    In the dialog that opens, select the Docker option, from the drop-down lists select the Docker server (if the server is missing, click New... ), and specify the image name.

    Python interpreter path should have the default value, for example, python:

    Click OK to complete the task.

    In the dialog that opens, select the Docker Compose option, from the drop-down lists select the Docker server, Docker Compose service (here web ), configuration file (here docker-compose.yml )and image name (here python ).

    Next, wait while IntelliJ IDEA starts your Docker-Compose configuration to scan and index:

    Click OK to complete the task.

    To add any of the remote interpreters, ensure that the Vagrant and Docker Integration plugin are installed and enabled. If the plugins are not activated, enable them on the Plugins page of the Settings / Preferences dialog as described in Manage plugins.

  4. If needed, select additional libraries and frameworks to enable with the project. When selecting a particular framework, ensure that it is supported by the specified project SDK. Also, provide the required parameters.

  5. Click Next.

  6. On the next page, select the Create project from template checkbox if you want to use a project or framework template for the new Python project.

  7. Specify the project name and location.

  8. Click Finish to complete the task.

Introduction

PyCharm is an IntelliJ Platform-based product. Plugin projects for PyCharm can be developed using IntelliJ IDEA with the gradle-intellij-plugin.

Python

Qualifying Open Source projects can apply for free licenses of JetBrains products.

Configuring Plugin Projects Targeting PyCharm

Python

The configuration of PyCharm plugin projects follows the methods described in Configuring Plugin Projects using a Product-Specific Attribute, and Configuring the plugin.xml File. The table below summarizes the gradle-intellij-plugin attributes to set in the build.gradle file. Click on an entry in the table's Attribute column to go to the documentation about that attribute.

gradle-intellij-plugin AttributeAttribute Value
intellij.typePY for PyCharm Professional Edition, or PC for PyCharm Community Edition.
intellij.versionSet to the targeted PY or PC version.
intellij.pluginsNo specific declaration is needed to use PY or PC APIs.
intellij.downloadSourcesfalse is required because no public source code is available.
runIde.ideDirectoryNot needed; the Development Instance will automatically match intellij.type.

The dependency on the PyCharm APIs must be declared in the plugin.xml file. As described in Configuring the plugin.xml File, the <depends> tags must declare com.intellij.modules.python.

See the SDK code sample pycharm_basics for an example configuration. Please note that this code sample must be imported into Gradle explicitly, as it is not included in the _gradleCompositeBuild.

Available PyCharm APIs

The plugin Python defines the APIs for PyCharm Professional. The plugin Python Community Edition defines the APIs for PyCharm Community. These plugins include the modules openapi and python-psi-api. These are considered stable APIs, but care should be taken to test your plugin with any version of PyCharm you wish to support.

Additional Articles and Resources

Phpstorm Python Download

Open Source Plugins for PyCharm

Python Phpstorm Syntax

When learning new development configurations, it is helpful to have some representative projects for reference:

Pycharm Community Download

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