Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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.

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Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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.

35.99 In Stock
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

by Dan Toomey
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

by Dan Toomey

eBook

$35.99 

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Overview

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.


Product Details

ISBN-13: 9781788839747
Publisher: Packt Publishing
Publication date: 04/30/2018
Sold by: Barnes & Noble
Format: eBook
Pages: 238
File size: 8 MB

About the Author

Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes, in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so, he has been contracting with companies in the eastern Massachusetts area, under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.

Table of Contents

Table of Contents
  1. Installation & Setting up the Environment
  2. Adding an Engine
  3. Accessing and Retrieving Data
  4. Visualize your analytics
  5. Working with Widgets
  6. Jupyter dashboards
  7. Sharing your code
  8. Multiuser Jupyter
  9. Interacting with Big Data
  10. Jupyter Security
  11. Jupyter Labs
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