List of pre-installed software

Packages for data analysis and machine learning are pre-installed in DataSphere. If you are missing a package, you can install it right from the notebook cell.

List of pre-installed packages

Package versions

To view the version of the installed package, in the notebook cell, run the command:

%pip show <Package name>

To view the list of installed packages and their versions, in the notebook cell, run the command:

%pip list

Updating

You can both upgrade any pre-installed package to a later version or roll it back to an earlier version.
Upgraded versions are preserved when you change environments or restart your project.

To upgrade a library to the latest version, run the following command in the notebook cell:

%pip install <library name> - U

For example, to upgrade TensorFlow to its latest version, run the command:

%pip install tensorflow -U

To upgrade a library to a specific version, run the following command in the notebook cell:

%pip install <library name>==<version>

For example:

%pip install tensorflow==2.3.1

Note that TensorFlow version 1.15 is still installed by default.

See also

• Installing dependencies
• Computing resource configurations
• Quotas and limits in DataSphere
• Step-by-step instructions for DataSphere