DataSpell 2023.1 Help

Create a project

Pure Python projects are intended for managing Jupyter notebooks and Python scripts. A project helps you organize your source code, tests, libraries that you use, and your personal settings in a single unit.

For information about how to create R projects, see R plugin support.

  1. To create a project, do one of the following:

    • From the main menu, choose File | New Project

    • On the Welcome screen, select Projects and then click New Project

  2. In the New Project dialog, select Pure Python as the project type.

    Specify the project location in the Location field. The directory name will also be used as the project name.

    Creating a Pure Python project

  3. Next, choose whether you want to create a new environment or use an existing interpreter, by clicking the corresponding radio-button.

    To use a remote Python interpreter, select Previously configured interpreter.

    The following steps depend on your choice:

    Create a project with a conda environment

    • Specify the location of the new conda environment in the Location field, or click Conda environment location and browse for the desired location in your file system. The directory for the new conda environment should be empty.

    • Select the Python version from the list.

    • Normally, DataSpell will detect conda installation.

      Otherwise, specify the location of the conda executable, or click Conda executable location to browse for it.

    • Select the Make available to all projects checkbox if you want to reuse this environment when creating Python interpreters in DataSpell.

    Create a project with virtualenv

    • Specify the location of the new virtual environment in the Location field, or click Virtual environment location and browse for the desired location in your file system. The directory for the new virtual environment should be empty.

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

    • 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. This checkbox corresponds to the --system-site-packages option of the virtualenv tool.

    • Select the Make available to all projects checkbox if you want to reuse this environment when creating Python interpreters in DataSpell.

    Create a project with Pipenv

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

    If you have added the base 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.

    If the pipenv executable is not found, follow the pipenv installation procedure to discover the executable path, and then paste it in the Pipenv executable field.

    Create a project with Poetry

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

    If DataSpell doesn't detect the poetry executable, specify the following path in the Poetry executable field, replacing jetbrains with your username:

    /Users/jetbrains/Library/Application Support/pypoetry/venv/bin/poetry
    C:\Users\jetbrains\AppData\Roaming\pypoetry\venv\Scripts\poetry.exe
    /home/jetbrains/.local/bin/poetry

    Choose the desired interpreter from the list, or (if the desired interpreter is not found), click Add Interpreter and configure an existing interpreter as described on the following pages:

Last modified: 28 March 2023
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