![]() ![]() If necessary, expand the Interpreter Settings section and configure the environment options. Specify Profiles location and select Profile to load You should also see a R Console button at the bottom of the screen. RStudio has both markdown and notebook options, but they still have an Rmd extension. pops up a menu: Pick 'RMarkdown File', which your purposes will work the same as a notebook. Press Ctrl Alt 0S to open Settings, go to Settings Sync, and then click Enable Settings Sync. DataSpell can be a little difficult to navigate. If necessary, enable Create sample Python script to add main.py with a basic Python code sample.įor dbt project type, you will need a profiles.yml file, where database connection settings are stored. If, instead of the JetBrains account, you use an activation code or a license server to activate your DataSpell, press Ctrl Alt 0S to open the IDE settings and select Settings Sync Log in with JetBrains account to sign in to your JetBrains account. In this case Jupyter will be installed in the project virtual environment. ![]() Keep the Create sample Jupyter notebook enabled if you want DataSpell to add sample.ipynb to your project. You will be able to do it later at any time. Select the Create Git repository checkbox to place the new project under version control. DataSpell will create the project directory in the provided location. Specify the project name in the Name field and location in the Location field. By default, a virtualenv environment is used. The project virtual environment has the dbt® package pre-installed. By default, a conda virtual environment is used. The project virtual environment doesn't contain any pre-installed packages, except for optional Jupyter. Polars Tablesīy default, a virtualenv environment is used. The project virtual environment has the following packages pre-installed:īy default, a conda virtual environment is used. ![]() The project virtual environment has Jupyter pre-installed. In the New Project dialog, select the desired project type: Jupyter On the Welcome screen, select Projects and then click New Project. To create a project, do one of the following:Ĭlick the Project widget, and then select New Project. A project helps you organize your source code, tests, libraries that you use, and your personal settings in a single unit.įor more information about creating R projects, refer to R plugin support. Python projects are intended for managing Jupyter notebooks and Python scripts. ![]()
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