Chapter 1, Installation and Setting up the Environment, teaches you how to install Jupyter on different environments, such as Windows, macOS, Linux, and a server machine.
Chapter 2, Adding an Engine, shows you the steps to add these engines to your Jupyter installation so that you can script your Notebook in the language you like.
Chapter 3, Accessing and Retrieving Data, teaches how to access and retrieve data from files in different formats in Jupyter.
Chapter 4, Visualize Your Analytics, covers recipes for visualizing your analytics in Python, R, and Julia.
Chapter 5, Working with Widgets, describes the wide range of possibilities of widgets in Jupyter.
Chapter 6, Jupyter Dashboards, teaches how to install and enable Jupyter dashboards layout extension to your Notebook.Â
Chapter 7, Sharing Your Code, shows you several methods for sharing your Notebook with others, including using different software packages and converting the Notebook into a different form for readers without access to Jupyter.
Chapter 8, Multiuser Jupyter, explores several options for enabling Jupyter Notebooks as a multiuser platform.
Chapter 9, Interacting with Big Data, covers the methods of accessing big data from Jupyter.
Chapter 10, Jupyter Security, investigates the various security mechanisms available for your Jupyter Notebook.
Chapter 11, Jupyter Labs, lets us try new features of Jupyter in a lab environment to create our own sample Notebook.
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