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Key benefits

Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles

Leverage big data tools and datasets with different Python packages

Explore multiple-user Jupyter Notebook servers

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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

€32.99

Applied Data Science with Python and Jupyter

€24.99

€32.99

Total € 90.97

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Empty Mailbox Apr 14, 2019

The first two chapters explain Jupyter, and introduces Python. The bulk of the book walks the reader through setup, and practical application for various programing languages: R, Julia, Scala, and more. If you are interested in utilizing these languages with Jupyter, or contrasting these languages and your current method of working then this book is for you. Towards the end of the book the author outlines several useful Jupyter topics like interactive user interface widgets. Practical advice on sharing notebooks with others through solutions like JupyterHub, and Docker are explained; as well as there limitations. There's also a good section on exporting your results for communication with others. I look forward to a future book on the new JupyterLabs.

Amazon Verified review

Brendan O'Sullivan Feb 11, 2021

Of the 7 kernels the author offers to install in the separate chapters for Jupyter Lab: Python, R, Java, Javascript, Julia, Spark, Scala, only 2, Python and R, were able to work per the instructions in this book. Very disappointing!!!!The author too often comments and explains: "This example does not work in Windows," or "Major caveat is this does not work on a Windows environment. A Java Notebook will not start on Windows," and "This example does not work in Windows. The Windows install required Microsoft Visual C++ to be installed. I tried several iterations to no avail."With such omissions and admissions, why was this book sent to press???

Learning Jupyter 5: Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab , Second Edition

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