This template environment can be used to create custom Python 3.9 notebook environments.
This environment has been built for python 3.9 and includes commonly used OSS machine learning and data science libraries. For specific version information, see requirements.
- Update requirements to add your custom libraries supported by Python 3.9.
- From the terminal, run
tar -czvf py39_notebook_gpu_tf_notebook_dropin.tar.gz -C /path/to/public_dropin_notebook_environments/python39_notebook_gpu_tf_notebook/ .
- Using either the API or from the UI create a new Custom Environment with the tarball created in step 2.
Upon successful build, the custom environment can be used in notebooks, by selecting it
from ENVIRONMENT
settings > Image
in the notebook sidebar.