New Project From Scratch
The first time you access a Jupyter notebook within a new project, the screen will look like below. There will simply be the default Conda kernel that is deployed with the image.
Instead, the architecture requires you to store your Conda packages/dependencies in a Volume with your code by making use of Conda Environments (see here for some of the reasons why - https://medium.freecodecamp.org/why-you-need-python-environments-and-how-to-manage-them-with-conda-85f155f4353c ).
Create Conda Environment
In order to create an environment (this is only required once), select terminal and run the command below, it's a good idea to name your environment something related to the purpose of what you're doing.