Jupyter Notebook for All - Part II [Video]

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Jupyter Notebook for All - Part II [Video]

Dan Toomey

Learn how to write code, mathematics, graphics, and output, all in a single document and in a web browser, using Project Jupyter

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Video Details

ISBN 139781788299169
Course Length1 hour and 14 minutes

Video Description

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 tutorial 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, JavaScript, and Julia; further, you'll explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you'll master interactive widgets, namespaces, and working with Jupyter in multiuser mode. Towards the end, you will use Jupyter with a big dataset and will apply all the functionalities learned throughout the video.

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 section.

Table of Contents

Interactive Widgets
The Course Overview
Installing Widgets and Widget Basics
Interact Widget
Interactive Widget
Widgets
Widget Properties
Sharing and Converting Jupyter Notebooks
Sharing Notebooks on a Notebook Server
Sharing Notebooks on a Web Server and Docker
Sharing Notebooks on a Public Server
Converting Notebooks
Multiuser Jupyter Notebooks
Sample Interactive Notebook
JupyterHub
JupyterHub – Operation
Docker and Its Installation
Building Your Jupyter Image for Docker
Jupyter Scala
Installing the Scala Kernel
Scala Data Access in Jupyter
Scala Array Operations
Scala Random Numbers in Jupyter
Scala Closures and Higher Order Definitions
Scala Pattern Matching and Case Classes
Scala Immutability
Scala Collections and Named Arguments
Scala Traits
Jupyter and Big Data
Apache Spark
Our First Spark Script and Word Count
Estimate Pi and Log File Examination
Spark Primes and Text File Analysis
Spark – Evaluating History Data

What You Will Learn

  • 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

Authors

Table of Contents

Interactive Widgets
The Course Overview
Installing Widgets and Widget Basics
Interact Widget
Interactive Widget
Widgets
Widget Properties
Sharing and Converting Jupyter Notebooks
Sharing Notebooks on a Notebook Server
Sharing Notebooks on a Web Server and Docker
Sharing Notebooks on a Public Server
Converting Notebooks
Multiuser Jupyter Notebooks
Sample Interactive Notebook
JupyterHub
JupyterHub – Operation
Docker and Its Installation
Building Your Jupyter Image for Docker
Jupyter Scala
Installing the Scala Kernel
Scala Data Access in Jupyter
Scala Array Operations
Scala Random Numbers in Jupyter
Scala Closures and Higher Order Definitions
Scala Pattern Matching and Case Classes
Scala Immutability
Scala Collections and Named Arguments
Scala Traits
Jupyter and Big Data
Apache Spark
Our First Spark Script and Word Count
Estimate Pi and Log File Examination
Spark Primes and Text File Analysis
Spark – Evaluating History Data

Video Details

ISBN 139781788299169
Course Length1 hour and 14 minutes
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