JupyterLab is an interactive development environment for working with notebooks, code and data. Most importantly, JupyterLab has full support for Jupyter notebooks. Additionally, JupyterLab enables you to use text editors, terminals, data file viewers, and other custom components side by side with notebooks in a tabbed work area.
JupyterLab provides a high level of integration between notebooks, documents, and activities:
Drag-and-drop to reorder notebook cells and copy them between notebooks.
Run code blocks interactively from text files (.py, .R, .md, .tex, etc.).
Link a code console to a notebook kernel to explore code interactively without cluttering up the notebook with temporary scratch work.
Edit popular file formats with live preview, such as Markdown, JSON, CSV, Vega, VegaLite, and more.
I like this, as I’m a big fan of notebooks but sometimes you just want to write some diagnostic queries and an IDE is way better for that. H/T Giovanni Lanzani