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Laboratories (henceforth Labs) are on-demand, cloud-based data development environments with automatically provisioned hardware (multiple infrastructure configurations, including GPUs, are possible) and full platform integration via the YData Python SDK (allowing access to Data Sources, Synthesizers, and the Workspace’s shared files).
In Labs, familiar IDEs like Visual Studio Code, **Jupyter Lab** and H20 Flow, with support for both Python and R are included.
For Python specifically, pre-configured bundles including TensorFlow, PyTorch and/or the main popular data science libraries are also available, jumpstarting data development. Additional libraries can be easily installed via PyPi.
To create a new Lab, access the Labs page in the sidebar and click in + Create Lab.
Prompting the Lab creation wizard.
The Lab creation wizard will appear and act as a guide to configure the desired Lab:
numpy
, pandas
, matplotlib
, seaborn
, scikit-learn
, scipy
, etc)