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  • Book Overview & Buying Learning Jupyter
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Learning Jupyter

Learning Jupyter

By : Toomey
1 (3)
Buy this Book
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Learning Jupyter

Learning Jupyter

1 (3)
By: Toomey
Buy this Book

Overview of this book

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.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Introduction to Jupyter
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1. Introduction to Jupyter
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First look at Jupyter
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Installing Jupyter on Windows
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Installing Jupyter on Mac
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Notebook structure
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Notebook workflow
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Basic notebook operations
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Security in Jupyter
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Configuration options for Jupyter
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Summary
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2. Jupyter Python Scripting
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2. Jupyter Python Scripting
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Basic Python in Jupyter
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Python data access in Jupyter
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Python pandas in Jupyter
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Python graphics in Jupyter
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Python random numbers in Jupyter
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Summary
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3. Jupyter R Scripting
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3. Jupyter R Scripting
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Adding R scripting to your installation
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Basic R in Jupyter
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R dataset access
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R visualizations in Jupyter
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R cluster analysis
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R forecasting
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Summary
4
4. Jupyter Julia Scripting
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4. Jupyter Julia Scripting
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Adding Julia scripting to your installation
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Basic Julia in Jupyter
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Julia limitations in Jupyter
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Standard Julia capabilities
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Julia visualizations in Jupyter
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Julia Vega plotting
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Julia parallel processing
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Julia control flow
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Julia regular expressions
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Julia unit testing
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Summary
5
5. Jupyter JavaScript Coding
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5. Jupyter JavaScript Coding
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Adding JavaScript scripting to your installation
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JavaScript Hello World Jupyter Notebook
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Basic JavaScript in Jupyter
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JavaScript limitations in Jupyter
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Node.js d3 package
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Node.js stats-analysis package
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Node.js JSON handling
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Node.js canvas package
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Node.js plotly package
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Node.js asynchronous threads
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Node.js decision-tree package
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Summary
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6. Interactive Widgets
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6. Interactive Widgets
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Installing widgets
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Widget basics
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Interact widget
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Interactive widget
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Widgets
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Summary
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7. Sharing and Converting Jupyter Notebooks
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7. Sharing and Converting Jupyter Notebooks
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Sharing notebooks
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Converting notebooks
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Summary
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8. Multiuser Jupyter Notebooks
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8. Multiuser Jupyter Notebooks
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Sample interactive notebook
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JupyterHub
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Docker
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Summary
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9. Jupyter Scala
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9. Jupyter Scala
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Installing the Scala kernel
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Scala data access in Jupyter
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Scala array operations
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Scala random numbers in Jupyter
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Scala closures
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Scala higher-order functions
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Scala pattern matching
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Scala case classes
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Scala immutability
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Scala collections
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Named arguments
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Scala traits
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Summary
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10. Jupyter and Big Data
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10. Jupyter and Big Data
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Apache Spark
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Our first Spark script
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Spark word count
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Sorted word count
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Estimate Pi
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Log file examination
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Spark primes
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Spark text file analysis
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Spark - evaluating history data
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Summary

Sharing notebooks

The typical mechanism for sharing notebooks is to provide your notebook on a website. A website runs on a server or on allocated machine space. The server takes care of all the bookkeeping involved in running a website, such as keeping track of multiple users and logging people on and off.

In order for the notebook to be of use, though, the website must have notebook logic installed. A typical website knows how to deliver content as HTML given some source files. The most basic form is pure HTML, where every page you access on the website corresponds exactly to one HTML file on the web server. Other languages could be used to develop the website (such as Java or PHP), so then the server needs to know how to access the HTML it needs from those source files. In our context, the server needs to know how to access your notebook in order to deliver HTML to users.

Even when notebooks are just running on your local machine, they are running in a browser that is accessing your local...

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Tech Concepts
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Programming languages
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