JupyterLab is an interactive environment for working with notebooks, code, and data. It works hand-in-hand with Jupyter notebook by allowing you to use text editors, terminals, data file viewers, and other custom components. JupyterLab provides on-demand analysis as well as enabling the construction of Python methods and processes for data transformation.
In order to have access to these powerful tools, PlaidCloud provides fully integrated and immediately available JupyterLab use and supports all of the most common JupyterLab use cases.
In addition to using JupyterLab on PlaidCloud, you are able to run JupyterLab locally or on other systems and still interact with PlaidCloud the same as if using JupyterLab directly on PlaidCloud. You can perform the exact same operations elsewhere as long as you have plaid_tools installed.
Click here for additional information from JupyterLab regarding code consoles.
PlaidCloud JupyterLab can utilize the following kernels:
In addition, the following additional capabilities are available: