JupyterLab interacts with the same Jupyter Notebook format, but offers a robust file explorer, a more intuitive user interface, support for interacting with other file types, etc. While we will continue to support this Classic Notebook experience, v1.5.0 of the Python API also supports the JupyterLab experience. Historically, this was done by running the jupyter notebook command to launch the ‘Classic Notebook’ server. The ArcGIS API for Python is designed to work extremely well with the Jupyter Notebook format.
Using Python in Jupyter Notebooks has become the preferred workflow for data scientists and GIS analysts in many use cases: data cleaning and transformation, statistical modeling, data visualization, machine learning, and more. Jupyter Notebooks are web documents that let you run Python code in an interactive manner, annotate your code with maps/charts/text/equations, and share your results with others seamlessly.
#Jupyter vs jupyterlab software
Jupyter’s flagship software offering is the Jupyter Notebook. There are many software packages worth exploring-but perhaps the most useful of these software offerings is Project Jupyter. You may know that the ArcGIS API for Python provides simple and efficient tools for performing GIS analysis, visualizing your spatial data, and administrating your web GIS-but did you also know that the ArcGIS API for Python integrates smoothly with the larger open-source Python ecosystem? These non-Esri software packages are free to use, and many can provide customization options and new features that enhance your Python development experience.
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