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

Interactive widget

There is also an interactive widget. The interactive widget works like the interact widget, but does not display the user input control until called upon directly by the script. This would be useful if you had some calculations that had to be performed for the parameters of the widget display, or even if you wanted to decide whether you needed a control at runtime.

For example, we could have the following script (similar to the preceding script):

from ipywidgets import interactive
def myfunction(x):
    return x
w = interactive(myfunction, x= "Hello World ");
from IPython.display import display

There are a couple of changes to the script:

  • We are referencing the interactive widget

  • The interactive function returns a widget, rather than immediately displaying a value

  • We must script the display of the widget ourselves

If we run this script, it looks very similar to the result of the previous script: