Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
About the Author
About the Reviewer

Widget basics

All widgets work the same, generally:

  • You create or define an instance of a widget.

  • You can preset attributes of a widget, such as its initial value or a label to be displayed.

  • Widgets can react to different inputs from a user. The inputs are gathered by a handler or a Python function that is invoked when a user performs some action on a widget; for example, a function could be set up to call the handler if the user clicks on a button.

  • The value of a widget can be used later in your script in the same way as any other variable; for example, you could use a widget to determine how many circles to draw.