Installing dependencies

Popular packages for data analysis and machine learning are pre-installed and ready for use, see the list.

You can install missing packages using the pip package manager.

Getting startedGetting started

Open the DataSphere project:

1. Select the relevant project in your community or on the DataSphere homepage in the Recent projects tab.

2. Click Open project in JupyterLab and wait for the loading to complete.
3. Open the notebook tab.

Install a packageInstall a package

To install a package:

1. Write the following command in the notebook cell:

   %pip install <package_name>
   

   For example, install the seaborn package to visualize statistics:

   %pip install seaborn
   

   You can use various options that the pip install command supports. See usage examples for this command.

2. Run the cell. To do this, click .

   The package installation result is displayed under the cell.

If you encounter problems when installing dependencies, use the recommendations provided in Solving problems with dependencies in Yandex DataSphere.