Book Image

Jupyter Cookbook

By : Dan Toomey
Book Image

Jupyter Cookbook

By: Dan Toomey

Overview of this book

Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell

Using a cookie cutter widget

Cookie cutter is a project that provides a skeleton framework for a project—a project to make a project. In particular, you can generate the framework, skeleton, or starter files for creating your own widget.

Getting ready

You first need to install cookiecutter. We had used conda to install Jupyter, so we can use conda to install cookiecutter as follows:

conda install cookiecutter

You can also use pip.

Also, it is assumed that you will be producing your widget for consumption by the whole world. The current mechanism for doing this is to have the code for your widget stored in a GitHub repository for all to see.


cookiecutter does not work on Windows.

How to do it...

  1. We first have to generate our skeleton widget by invoking cookiecutter:

Here, we are running the cookiecutter code. It will automatically prompt for a number of settings regarding your widget, as follows:

author_name []: Dan Toomey