Learning Jupyter 5 · 2nd Edition

Learn how to write code, mathematics, graphics, and output, all in a single

document, as well as in a web browser using Project Jupyter About This Book

Learn to write, execute, and comment your live code and formulae all under one

roof using this unique guide This one-stop solution on Project Jupyter will

teach you everything you need to know to perform scientific computation with

ease This easy-to-follow, highly practical guide lets you forget your worries

in scientific application development by leveraging big data tools such as

Apache Spark, Python, R etc Who This Book Is For This book caters to all

developers, students, or educators who want to execute code, see output, and

comment all in the same document, in the browser. Data science professionals

will also find this book very useful to perform technical and scientific

computing in a graphical, agile manner. 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 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 in the same

Notebook Organize your Notebook using Jupyter namespaces Access big data in

Jupyter In Detail Jupyter Notebook is a web-based environment that enables

interactive computing in notebook documents. It 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,

machine learning, and much more. This book starts with a detailed overview of

the Jupyter Notebook system and its installation in different environments.

Next we'll help you will learn to integrate Jupyter system with different

programming languages such as R, Python, JavaScript, and Julia and explore the

various versions and packages that are compatible with the Notebook system.

Moving ahead, you master interactive widgets, namespaces, and working with

Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big

data set and will apply all the functionalities learned throughout the book.

Style and approach This comprehensive practical guide will teach you how to

work with the Jupyter Notebook system. It demonstrates the integration of

various programming languages with Jupyter Notebook through hands-on examples

in every chapter."