Learning Jupyter 5 - Second Edition

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter

Learning Jupyter 5 - Second Edition

Dan Toomey

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter
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Book Details

ISBN 139781789137408
Paperback282 pages

Book Description

The Jupyter Notebook 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, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples.

The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode.

By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.

Table of Contents

Chapter 10: Sharing and Converting Jupyter Notebooks

What You Will Learn

  • Install and run the Jupyter Notebook system on your machine
  • Implement programming languages such as R, Python, Julia, and JavaScript with the Jupyter Notebook
  • Use interactive widgets to manipulate and visualize data in real time
  • Start sharing your Notebook with colleagues
  • Invite your colleagues to work with you on the same Notebook
  • Organize your Notebook using Jupyter namespaces
  • Access big data in Jupyter for dealing with large datasets using Spark

Authors

Table of Contents

Chapter 10: Sharing and Converting Jupyter Notebooks

Book Details

ISBN 139781789137408
Paperback282 pages
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