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When using Datalabs the recommended way to install packages is through use of Conda. Conda This is a flexible package/library management tool that can be used to install dependencies across multiple languages and platforms (for more information see https://docs.conda.io/en/latest/).
One of the key aspects that using Conda allows is the storing of all project dependencies (including but not limited packages, binaries & libraries) in one place which can be stored with your code. Additionally This is key because as Datalabs is hosted on Kubernetes, (which is a platform that allows for workloads or Notebooks to be created, moved or deleted easily) it's important to ensure that any custom packages that get installed are persisted without having to re-install whenever a notebook is restarted.
The guide below will walk through setting up your environment. This will only be required when either starting a new project or creating a new Conda environment.
New Project From Scratch
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