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Yandex DataSphere
  • Getting started
  • Step-by-step instructions
    • All instructions
    • Creating a project
    • Installing dependencies
    • Running sample code in a notebook
    • Version control. Working with checkpoints
    • Managing computing resources
    • Clearing the interpreter state
    • Sharing a notebook
      • Publishing a notebook
      • Exporting a project
    • Changing a name or description
    • Deleting a project
    • Working with Git
    • Setting up integration with Data Proc
  • Concepts
    • Overview
    • Project
    • List of pre-installed software
    • Available commands
    • Computing resource configurations
    • Integration with version and data control systems
    • Integration with Data Proc
    • Quotas and limits
  • Access management
  • Pricing policy
  • Questions and answers
  1. Concepts
  2. Project

Project

    A project is a JupyterLab development environment that runs on Yandex.Cloud VMs. It includes the Jupyter Notebook editor and auxiliary tools.

    A notebook is an *.ipynb file that you are working with in the Jupyter Notebook editor. In this editor, you write code in cells and explanations between them in Markdown. The code is run for each cell separately. Cells can be run in any order.

    Projects store the state of the interpreter, variables, installed packages, and much more. When you reopen your project, the notebook loads in the state you last saved it in.

    Note

    Some variables aren't serialized and therefore can't be saved. For example, a variable with a file open for writing: f = open("file.txt", "w").

    A warning is shown for these variables during the assignment: The following variables cannot be serialized:.

    The service automatically redirects you to the management console if you don't use the project for 20 minutes or close it. For more information about service limits, see Quotas and limits.

    See also

    • Step-by-step instructions
    • Quotas and limits
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