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Found along the bottom of your Jupyter Lab window, the information dock contains a few informative displays that are always visible throughout your JupyterLab Session
View Toggle Toggling simple “on” removes tabs for just one main/active work area. It is often useful to focus on a single document or activity without closing other tabs in the main work area. Simple Interface mode enables this, while making it easy to return to your multi-activity layout in the main work area. Also look asthetically more like a traditional Jupyter Notebook
Active Count # of active kernels # of active terminals
Active work area: Current mode in your highlighted working area Location within the active file Active file name
Notifications: Notifies users of possible updates or other JupyterLab news

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Running

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Why run your code in a console instead of a notebook?

Jupyter Notebooks run code in a linear fashion, based on the explicit linear order according to the cell’s placement in the notebook.
There are positives and negatives associated with running the cells linearly:
- Positives:
  - Helpful because it makes the logic of the code, and project easier to understand and visualize in a step-by-step manner.
  - Understanding the origins and processes associated with data collection, computational processes, and output become more straightforward.
- Negatives:
  - Notebooks do NOT allow code to run functions simultaneously, even when the code natively handles it.
  - Notebooks also do NOT allow code to run based on decisions or conditional statements (such as if, if/else, or switch/case statements)
Code consoles allow you to run code interactively in a kernel. The cells of a code console show the order in which code was executed in the kernel, as opposed to the explicit ordering of cells in a notebook document. Code consoles also display rich output, just like notebook cells.

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