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.
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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.
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