Installing dependencies

Popular packages for data analysis and machine learning are pre-installed and ready to use. You can find a list of these packages here.

To install missing packages, use pip.

Getting startedGetting started

Open the DataSphere project:

1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

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

Installing a packageInstalling a package

To install a package:

1. Enter the following command in a notebook cell:

   %pip install <package_name>
   

   For example, install the seaborn package to visualize statistics:

   %pip install seaborn
   

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

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

   The package installation result will show up under the cell.

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