Index
A
- Amazon Web Services (AWS)
- Notebook, executing / Running your Notebook in AWS
- Anaconda Navigator
- about / How to do it...
- used, for R engine installation / Installing the R engine using Anaconda Navigator
- Azure
- Notebook, executing / Running your Notebook in Azure
B
- bar chart
- producing, R used / Producing a bar chart using R, How it works...
- big-text data
- analyzing / Analyzing big-text data, How it works...
- big-text data source
- word count, obtaining / Obtaining a word count from a big-text data source, How it works...
- sorted word count, obtaining / Obtaining a sorted word count from a big-text source
- big-text log file access
- examining / Examining big-text log file access, How it works...
- big data history files
- analyzing / Analyzing big data history files
C
- comma separated value (CSV) files
- reading / Reading CSV files, Getting ready, How it works...
- complex orbit, of multiple objects
- console
- starting / Starting a console
- cookie cutter widget
- corpus
- cleaning up, steps / How it works...
D
- 3D data
- plotting, Python used / Plotting 3D data using Python, How it works...
- database
- accessing / Accessing a database, How to do it..., How it works...
- Denial of Service (DOS) / Web attack strategies
- density map
- generating, Python used / Generating a density map using Python, How to do it...
- Docker
- Notebook, sharing / Sharing your Notebook through Docker
- multiuser, providing / Providing multiuser with Docker, How to do it...
E
- Encrypt
- reference / How to do it...
F
- flat files
- reading / Reading flat files, How it works...
G
- Gadfly
- used, for drawing Julia scatter diagram of Iris data / Drawing a Julia scatter diagram of Iris data using Gadfly
- used, for drawing Julia histogram / Drawing a Julia histogram using Gadfly
- Google Cloud Platform (GCP)
- Notebook, executing / Running your Notebook in Google Cloud Platform
- reference / Set up your GC project
- grid layout / Introduction
H
- histogram
- generating, Python used / Generating a histogram using Python, How it works...
- HTML
- Notebooks, converting / Converting Notebooks to HTML, How it works...
- HTTP log file sample set
- reference / Examining big-text log file access
I
- interactive text widget
- using / Using an interactive text widget
- interactive widget
- using / Using an interactive widget
- ipywidgets
- linking example / Another ipywidgets linking example, How it works...
J
- JavaScript (Node.js) dashboard
- developing / Develop a JavaScript (Node.js) dashboard
- JavaScript engine
- adding / Adding the JavaScript engine
- Node.JS engine, installing / Installing the Node.JS engine
- Node.JS script, executing / Running a Node.JS script
- JavaScript Object Notation (JSON) files
- reading / Reading JSON files, How to do it..., How it works...
- Julia
- used, for visualizing / Visualizing with Julia, How to do it...
- dashboard, creating / Creating a Julia dashboard, How to do it...
- Julia engine
- adding / Adding the Julia engine
- installing / Installing the Julia engine
- reference / Installing the Julia engine
- script, executing / Running a Julia script
- Julia histogram
- drawing, Gadfly used / Drawing a Julia histogram using Gadfly
- Julia line graph
- drawing, Winston package used / Drawing a Julia line graph using the Winston package
- Julia scatter diagram, of Iris data
- drawing, Gadfly used / Drawing a Julia scatter diagram of Iris data using Gadfly
- Jupyter
- installing, on Windows / Installing Jupyter on Windows
- installation, on Linux / Installing Jupyter on Linux
- Jupyter dashboards
- about / What is Jupyter dashboards?, How to do it...
- layout extensions, enabling / Getting ready, How to do it...
- installing / Getting ready
- JupyterHub
- used, for providing multiuser / Providing multiuser with JupyterHub, Getting ready, How to do it...
- Jupyter installation, on Mac
- about / Installing Jupyter on the Mac
- via Anaconda / Installing Jupyter on the Mac via Anaconda
- via command line / Installing Jupyter on the the Mac via the command line
- Jupyter installation, on server
- about / Installing Jupyter on a server
- Notebook, with user data collision / Example Notebook with a user data collision
- Jupyter installation, on Windows
- direct method / Installing Jupyter directly
- Anaconda, using / Installing Jupyter through Anaconda
- JupyterLab
- features / JupyterLab features
- installing / Installing and starting JupyterLab, Installing JupyterLab
- starting / Installing and starting JupyterLab, Starting JupyterLab
- display / JupyterLab display
- menus / JupyterLab menus, How to do it...
- Jupyter Scala board
- reference / Installing the Scala engine
- Jupyter trust model
- about / The Jupyter trust model
- overriding / How to do it..., Trust overrides
- collaboration / Collaboration
L
- Latex
- Notebooks, converting to / Converting Notebooks to Latex, How it works...
- line graph
- generating, Python used / Generating a line graph using Python, How it works...
- Linux
- Jupyter, installing / Installing Jupyter on Linux
- locally weighted scatterplot smoothing (LOWESS) / How it works...
M
- Mac
- Jupyter, installing / Installing Jupyter on the Mac
- Markdown
- Notebooks, converting to / Converting Notebooks to Markdown
- multiuser
- need for / Why multiuser?, How it works...
- providing, with JupyterHub / Providing multiuser with JupyterHub, How to do it...
- providing, with Docker / Providing multiuser with Docker, How to do it...
N
- nbviewer
- reference / Sharing your Notebook using nbviewer
- used, for sharing Notebook / Sharing your Notebook using nbviewer
- network access
- controlling / Controlling network access
- domain access, controlling / Controlling domain access
- IP access, controlling / Controlling IP access
- no authentication
- using / No authentication
- Notebook
- sharing, server software used / Sharing your Notebook using server software
- web encryption, using / Using web encryption for your Notebook
- sharing, through public server / Sharing your Notebook through a public server
- sharing, through Docker / Sharing your Notebook through Docker
- sharing, nbviewer used / Sharing your Notebook using nbviewer
- converting, into different format / Converting your Notebook into a different format, How to do it...
- converting, to R / Converting Notebooks to R
- converting, to HTML / Converting Notebooks to HTML, How it works...
- converting, to Markdown / Converting Notebooks to Markdown
- converting, to reStructedText / Converting Notebooks to reStructedText
- converting, to Latex / Converting Notebooks to Latex, How it works...
- converting, to PDF / Converting Notebooks to PDF
- executing, in Google Cloud Platform (GCP) / Running your Notebook in Google Cloud Platform
- starting / Starting a Notebook
- Notebook, executing in AWS
- about / Running your Notebook in AWS
- steps / How to do it...
- Notebook, executing in Azure
- about / Running your Notebook in Azure
- steps / How to do it...
- Notebook, executing in GCP
- project, setting up / Set up your GC project
- Cloud storage bucket, creating / Create a Cloud storage bucket
- cluster, creating / Create a cluster
- Jupyter, installing / Install Jupyter
- Jupyter script, downloading / Download the script
- Jupyter script, executing / Execute the script
- Jupyter, configuring / Configure Jupyter
- steps / Next steps
- Notebook server
- using / Using a Notebook server
O
- OPENGL widget
- developing / Developing an OPENGL widget
P
- parallel operations
- used, for computing prime numbers / Computing prime numbers using parallel operations, How it works...
- password authentication
- using / Password authentication
- PDF
- Notebooks, converting to / Converting Notebooks to PDF
- prime numbers
- computing, parallel operations used / Computing prime numbers using parallel operations, How it works...
- Python
- used, for generating line graph / Generating a line graph using Python, How it works...
- used, for generating histogram / Generating a histogram using Python, How it works...
- used, for generating density map / Generating a density map using Python, How it works...
- used, for plotting 3D data / Plotting 3D data using Python, How it works...
- used, for presenting user-interface graphics / Present a user-interactive graphic using Python, How it works...
- Python 3 engine
- adding / Adding the Python 3 engine
- installing / Installing the Python 3 engine
- script, executing / Running a Python 3 script
- Python dashboard
- creating / Create a Python dashboard
R
- R
- visualization mechanism / Visualizing with R, How it works...
- used, for generating regression line of data / Generate a regression line of data using R, How it works...
- used, for producing Scatter plot matrix / Producing a Scatter plot matrix using R
- used, for handling Scatter plot matrix / How it works...
- used, for producing bar chart / Producing a bar chart using R, How it works...
- used, for producing word cloud / Producing a word cloud using R, How it works...
- Notebooks, converting / Converting Notebooks to R
- R dashboard
- creating / How to do it..., How it works...
- regression line, of data
- generating, R used / Generate a regression line of data using R
- R engine
- adding / Adding the R engine
- installing, Anaconda Navigator used / Installing the R engine using Anaconda Navigator
- installing, via command line / Installing the R engine via command line
- script, executing / Running an R Script
- report layout / Introduction
- Resilient Distributed Dataset (RDD) / How it works...
- reStructedText
- Notebooks, converting / Converting Notebooks to reStructedText
- R lowess line graph
- generating / Generate an R lowess line graph, How it works...
S
- Scala engine
- adding / Adding the Scala engine
- installing / Installing the Scala engine
- script, executing / Running a Scala script
- Scatter plot matrix
- producing, R used / Producing a Scatter plot matrix using R, How it works...
- security, best practices
- about / Additional practices
- server IP address, specifying / How to do it...
- no browser / No browser
- security mechanisms
- about / Introduction
- risks, calculating / How much risk?
- known vulnerabilities / Known vulnerabilities
- web attack strategies / Web attack strategies
- inherent Jupyter security issues / Inherent Jupyter security issues
- built, into Jupyter / Security mechanisms built into Jupyter
- server
- Jupyter , installing / Installing Jupyter on a server
- server IP address
- URL prefix / URL prefix
- simple orbit, object
- creating / Creating a simple orbit of one object
- sorted word count
- obtaining, from big-text source / Obtaining a sorted word count from a big-text source
- Spark engine
- adding / Adding the Spark engine
- installing / Installing the Spark engine
- reference / Installing the Spark engine
- script, executing / Running a Spark script
- SSL
- using / Using SSL
- SSL certificate
- creating / Creating an SSL certificate
- applying / Apply the SSL certificate
T
- text files
- reading / Reading text files, How to do it..., How it works...
- token-based authentication
- using / Token-based authentication
U
- user-interactive graphic
- presenting, Python used / Present a user-interactive graphic using Python, How it works...
V
- visualization
- R, using / Visualizing with R, How it works...
- Julia, using / Visualizing with Julia, How to do it...
W
- web server
- using / Using a web server
- widget container
- using / Using a widget container
- widgets
- about / What are widgets?
- types / What are widgets?
- linking together / Linking widgets together
- Windows
- Jupyter, installing / Installing Jupyter on Windows
- Winston package
- used, for drawing Julia line graph / Drawing a Julia line graph using the Winston package
- word cloud
- producing, R used / Producing a word cloud using R, How it works...
- word count
- obtaining, from big-text data source / Obtaining a word count from a big-text data source, How it works...
