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
Contributors
Preface
Index

Running your Notebook in Azure


Azure is another cloud computing service created by Microsoft. Their process is much more interactive, requiring confirmation by phone and the like.

Getting ready

Even though it is Microsoft, one of the choices for resources is Ubuntu with a single CPU. This is probably bigger than the low-end option of the other two services, but is pretty cheap with the expected cost at 50 dollars a month.

How to do it...

Once the machine is allocated, you get a variety of features you can interact with directly:

  • The virtual machine
  • Disk
  • Network card
  • Storage
  • IP address

All features are directly available as needed

How it works...

If you select the VM, there is a large display of settings for the VM and statistics. If you click on the <_ icon on the upper right, you can open a bash command shell. At this point, you can install jupyter hub as described in the earlier section.

There's more...

Like the other services, you need to stop any services you have running. I even went to the step...