Book Image

Jupyter for Data Science

By : Dan Toomey
Book Image

Jupyter for Data Science

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 documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Deploying notebooks


A Jupyter Notebook is a website. You could host a website on the computer that you are using to display this document. There may be a machine available in your department that is in use as a web server.

If you were to deploy on a local machine you would have a single user website where additional users would be blocked from access or would collide with each other. The first step towards publishing your notebook involves using a hosting service that provides multiple user access.

Deploying to JupyterHub

The predominant Jupyter hosting product currently is JupyterHub. To be clear, JupyterHub is installed into a machine under your control. It provides multi-user access to your notebooks. This means you could install JupyterHub on a machine in your environment and only internal users (multiple internal users) could access it.

When JupyterHub starts it begins a hub or controlling agent. The hub will start an instance of a listener or proxy for Jupyter requests. When the proxy...