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Bibliographic Details

Title: Jupyter Cookbook

Publisher: Packt Publishing Limited

Publication Date: 2018

Binding: PAP

Condition: New

About this title

Synopsis:

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

Key Features

Create and share interactive documents with live code, text and visualizations
Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter
Develop your widgets and interactive dashboards with these innovative recipes

Book Description

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.

What you will learn

Install Jupyter and configure engines for Python, R, Scala and more
Access and retrieve data on Jupyter Notebooks
Create interactive visualizations and dashboards for different scenarios
Convert and share your dynamic codes using HTML, JavaScript, Docker, and more
Create custom user data interactions using various Jupyter widgets
Manage user authentication and file permissions
Interact with Big Data to perform numerical computing and statistical modeling
Get familiar with Jupyter's next-gen user interface - JupyterLab

Who This Book Is For

This cookbook is for data science professionals, developers, technical data analysts, and programmers who want to execute technical coding, visualize output, and do scientific computing in one tool. Prior understanding of data science concepts will be helpful, but not mandatory, to use this book.

Installation & Setting up the Environment
Adding an Engine
Accessing and Retrieving Data
Visualize your analytics
Working with Widgets
Jupyter dashboards
Sharing your code
Multiuser Jupyter
Interacting with Big Data
Jupyter Security
Jupyter Labs

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.

"About this title" may belong to another edition of this title.

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