Jupyter Notebook for All - Part I [Video]

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Jupyter Notebook for All - Part I [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 139781788299176
Course Length1 hour 23 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

Introduction to Jupyter
The Course Overview
First Look at Jupyter
Installing Jupyter on Windows
Installing Jupyter on Mac
Notebook Structure, Workflow, andBasic Operations
Security and Configuration Operations in Jupyter
Jupyter Python scripting
Basic Python in Jupyter
Python Data Access in Jupyter
Python pandas in Jupyter
Python Graphics in Jupyter
Python Random Numbers in Jupyter
Jupyter R scripting
Adding R Scripting to Your Installation
Basic R in Jupyter
R Dataset Access and Visualization in Jupyter
R Cluster Analysis and Forecasting
Jupyter Julia Scripting
Adding Julia Scripting to Your Installation
Basic Julia in Jupyter
Julia Limitations and Standard Capabilities
Julia Visualizations in Jupyter
Julia Vega Plotting and Parallel Processing
Julia Control Flow, Regular Expressions, and Unit Testing
Jupyter JavaScript Coding
Adding JavaScript Scripting to Your Installation
JavaScript Hello World Jupyter Notebook
Basic JavaScript in Jupyter
Node.js stats-analysis Package and JSON Handling
Node.js plotly Package
Node.js Asynchronous Threads
Node.js decision-tree Package

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

Authors

Table of Contents

Introduction to Jupyter
The Course Overview
First Look at Jupyter
Installing Jupyter on Windows
Installing Jupyter on Mac
Notebook Structure, Workflow, andBasic Operations
Security and Configuration Operations in Jupyter
Jupyter Python scripting
Basic Python in Jupyter
Python Data Access in Jupyter
Python pandas in Jupyter
Python Graphics in Jupyter
Python Random Numbers in Jupyter
Jupyter R scripting
Adding R Scripting to Your Installation
Basic R in Jupyter
R Dataset Access and Visualization in Jupyter
R Cluster Analysis and Forecasting
Jupyter Julia Scripting
Adding Julia Scripting to Your Installation
Basic Julia in Jupyter
Julia Limitations and Standard Capabilities
Julia Visualizations in Jupyter
Julia Vega Plotting and Parallel Processing
Julia Control Flow, Regular Expressions, and Unit Testing
Jupyter JavaScript Coding
Adding JavaScript Scripting to Your Installation
JavaScript Hello World Jupyter Notebook
Basic JavaScript in Jupyter
Node.js stats-analysis Package and JSON Handling
Node.js plotly Package
Node.js Asynchronous Threads
Node.js decision-tree Package

Video Details

ISBN 139781788299176
Course Length1 hour 23 minutes
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