Jupyter Cookbook电子书

Title Page

Copyright and Credits

Jupyter Cookbook

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Contributors

About the author

About the reviewers

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Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Installation and Setting up the Environment

Introduction

Installing Jupyter on Windows

Getting ready

How to do it...

Installing Jupyter directly

Installing Jupyter through Anaconda

Installing Jupyter on the Mac

Getting ready

How to do it...

Installing Jupyter on the Mac via Anaconda

Installing Jupyter on the the Mac via the command line

Installing Jupyter on Linux

How to do it...

Installing Jupyter on a server

How to do it...

Example Notebook with a user data collision

Adding an Engine

Introduction

Adding the Python 3 engine

How to do it...

Installing the Python 3 engine

Running a Python 3 script

Adding the R engine

How to do it...

Installing the R engine using Anaconda Navigator

Installing the R engine via command line

Running an R Script

Adding the Julia engine

How to do it...

Installing the Julia engine

Running a Julia script

Adding the JavaScript engine

How to do it...

Installing the Node.JS engine

Running a Node.JS script

Adding the Scala engine

How to do it...

Installing the Scala engine

Running a Scala script

Adding the Spark engine

How to do it...

Installing the Spark engine

Running a Spark script

Accessing and Retrieving Data

Introduction

Reading CSV files

Getting ready

How to do it...

How it works...

Reading JSON files

Getting ready

How to do it...

How it works...

Accessing a database

Getting ready

How to do it...

How it works...

Reading flat files

Getting ready

How to do it...

How it works...

Reading text files

Getting ready

How to do it...

How it works...

Visualizing Your Analytics

Introduction

Generating a line graph using Python

How to do it...

How it works...

Generating a histogram using Python

How to do it...

How it works...

Generating a density map using Python

How to do it...

How it works...

Plotting 3D data using Python

How to do it...

How it works...

Present a user-interactive graphic using Python

How to do it...

How it works...

Visualizing with R

How to do it...

How it works...

Generate a regression line of data using R

How to do it...

How it works...

Generate an R lowess line graph

How to do it...

How it works...

Producing a Scatter plot matrix using R

How to do it...

How it works...

Producing a bar chart using R

How to do it...

How it works...

Producing a word cloud using R

How to do it...

How it works...

Visualizing with Julia

Getting ready

How to do it...

Drawing a Julia scatter diagram of Iris data using Gadfly

How to do it...

Drawing a Julia histogram using Gadfly

How to do it...

How it works...

Drawing a Julia line graph using the Winston package

How to do it...

How it works...

Working with Widgets

Introduction

What are widgets?

Getting ready

How to do it...

How it works...

Using ipyleaflet widgets

Getting ready

How to do it...

How it works...

Using ipywidgets

Getting ready

How to do it...

How it works...

Using a widget container

How to do it...

Using an interactive widget

How to do it...

How it works...

Using an interactive text widget

How to do it...

How it works...

Linking widgets together

How to do it...

How it works...

Another ipywidgets linking example

How to do it...

How it works...

Using a cookie cutter widget

Getting ready

How to do it...

How it works...

Developing an OPENGL widget

Getting ready

Creating a simple orbit of one object

How to do it...

How it works...

Using a complex orbit of multiple objects

How to do it...

How it works...

Jupyter Dashboards

Introduction

What is Jupyter dashboards?

Getting ready

How to do it...

There's more...

Creating an R dashboard

How to do it...

How it works...

Create a Python dashboard

How to do it...

Creating a Julia dashboard

How to do it...

Develop a JavaScript (Node.js) dashboard

How to do it...

Sharing Your Code

Introduction

Sharing your Notebook using server software

Using a Notebook server

How to do it...

Using web encryption for your Notebook

Using a web server

How to do it...

Sharing your Notebook through a public server

How to do it...

Sharing your Notebook through Docker

How to do it...

Sharing your Notebook using nbviewer

How to do it...

Converting your Notebook into a different format

How to do it...

Converting Notebooks to R

How to do it...

How it works...

Converting Notebooks to HTML

How to do it...

How it works...

Converting Notebooks to Markdown

How to do it...

How it works...

Converting Notebooks to reStructedText

How to do it...

How it works...

Converting Notebooks to Latex

How to do it...

How it works...

Converting Notebooks to PDF

How to do it...

How it works...

Multiuser Jupyter

Introduction

Why multiuser?

How to do it...

How it works...

Providing multiuser with JupyterHub

Getting ready

How to do it...

Providing multiuser with Docker

Getting ready

How to do it...

Running your Notebook in Google Cloud Platform

Getting ready

Set up your GC project

Create a Cloud storage bucket

Create a cluster

Install Jupyter

Download the script

Execute the script

Configure Jupyter

How to do it...

Next steps

There's more...

Running your Notebook in AWS

Getting ready

How to do it...

How it works...

There's more...

Running your Notebook in Azure

Getting ready

How to do it...

How it works...

There's more...

Interacting with Big Data

Introduction

Obtaining a word count from a big-text data source

How to do it...

How it works...

Obtaining a sorted word count from a big-text source

How to do it...

How it works...

Examining big-text log file access

How to do it...

How it works...

Computing prime numbers using parallel operations

How to do it...

How it works...

Analyzing big-text data

How to do it...

How it works...

Analyzing big data history files

How to do it...

How it works...

Jupyter Security

Introduction

How much risk?

Known vulnerabilities

Web attack strategies

Inherent Jupyter security issues

Security mechanisms built into Jupyter

How to do it...

Token-based authentication

Password authentication

No authentication

Using SSL

How to do it...

Creating an SSL certificate

Apply the SSL certificate

The Jupyter trust model

How to do it...

Trust overrides

Collaboration

Controlling network access

How to do it...

Controlling domain access

Controlling IP access

Additional practices

How to do it...

Server IP address

URL prefix

No browser

Jupyter Labs

Introduction

JupyterLab features

Installing and starting JupyterLab

How to do it...

Installing JupyterLab

Starting JupyterLab

JupyterLab display

How to do it...

JupyterLab menus

How to do it...

Starting a Notebook

How to do it...

Starting a console