Index
A
- abstract array protocol
- reference / See also
- Abstract Syntax Tree (AST) / Introduction
- Amazon Machine Image (AMI) / There's more...
- Amazon Web Services (AWS) / Getting ready, There's more...
- Anaconda
- download link / Running JupyterLab with Anaconda on Linux
- Apache POI
- reference / There's more...
- ARGB
- reference / Getting ready
- array
- index of random minimum element, finding / Finding the index of a random minimum element in an array, How it works..., There's more...
- reference / There's more...
- array protocol / There's more...
- array views
- used, for avoiding memory allocation / Using array views to avoid memory allocation, Getting ready, How to do it..., There's more...
- Atom
- reference / Juno
- installation link / Juno
- AWS cloud
- Julia, executing in Cloud9 IDE / Running Julia inside the Cloud9 IDE in the AWS cloud, See also
- AWS RDS (Amazon Web Services Relational Database Service)
- reference / Getting Oracle JDBC drivers
B
- 64-bit Xorshift / Getting ready
- barrier function / There's more...
- Bayesian bootstrap
- reference / There's more...
- BenchmarkTools.jl package
- reference / There's more...
- BlackBoxOptim.jl package
- reference / See also
- bootstrapping method
- reference / Getting ready
- built-in system streams (stdin, stdout, stderr)
- interacting with / Built-in system streams (stdin, stdout, stderr)
C
- Cascadia.jl
- reference / How it works...
- categorical arrays
- reference / See also
- categorical data
- working with / Working with categorical data, How it works...
- Cloud9
- reference / How it works...
- Cloud Formation Cluster ( CfnCluster)
- reference / There's more...
- code
- benchmarking / Benchmarking code, How it works..., There's more...
- code performance
- improving, with @inbounds / Improving code performance using @inbounds, How it works..., There's more...
- annotations, reference / There's more...
- column-major order / How it works...
- comma-separated value (CSV)
- reading / Reading CSV and FWF files, How it works..., There's more...
- complex logging
- reference / See also
- complex numbers
- working with / Working with complex numbers, How it works...
- reference / There's more...
- computation results
- displaying / Displaying computation results in Julia, How it works...
- conditional statements
- used, for executing loops / How it works..., There's more...
- ConEmu
- reference /
- contravariance
- reference / There's more...
- CSV data
- reading, from internet / Reading CSV data from the internet, How it works...
- custom pseudo-random number generator
- implementing / Implementing a custom pseudo-random number generator, How it works..., See also
- Cycler Boot Mode / There's more...
D
- data
- sorting, ways / Non-standard ways to sort your data, How it works...
- fetching, from internet / Fetching data from the internet, How it works..., See also
- converting, between / Converting data between DataFrame and Matrix, There's more...
- database APIs
- reference / See also
- database systems
- working with / Working with databases in Julia, There's more...
- MySQL / Getting ready for MySQL
- PostgreSQL / Getting ready for PostgreSQL
- reference / How it works...
- data frame
- contents, investigating / Investigating the contents of a data frame, How it works...
- converting, between wide and narrow formats / Converting a data frame between wide and narrow formats, There's more...
- comparing, for identity / Comparing data frames for identity, How it works..., There's more...
- DataFrames
- and Matrix , data conversions / Converting data between DataFrame and Matrix, There's more...
- split-apply-combine pattern / Split-apply-combine in DataFrames, How it works..., See also
- rows, transforming / Transforming rows of DataFrame, How it works...
- Date module
- working with / Working with date and time, How to do it..., How it works..., There's more..., See also
- dictionaries
- working / Creating a function preimage - understanding how dictionaries and sets work, How it works..., See also
- distributed computing
- reference / See also
- with Julia / Distributed computing with Julia, Getting ready, How to do it...
- Distributed module / See also
- double factorial / Getting ready
E
- Emacs
- used, for configuring Julia / Configuring Julia with Emacs
- end-of-file (EOF) state / Reading and writing files
- entity-attribute-value model / Converting a data frame between wide and narrow formats
- Euclidean norm
- reference / Getting ready
- exponential distribution
- reference / Getting ready
F
- factorial designs
- generating / Generating full factorial designs, How to do it..., How it works...
- Feather data
- handling / Handling Feather data, How to do it..., How it works...
- documentation, reference / See also
- files
- writing / Managing streams, and reading and writing files, Reading and writing files, There's more...
- reading / Managing streams, and reading and writing files, Reading and writing files, There's more...
- fixed-width files (FWF)
- reading / Reading CSV and FWF files, How it works..., There's more...
- functional programming
- about / Functional programming in Julia
- working / How to do it..., How it works...
- function preimage
- creating / Creating a function preimage - understanding how dictionaries and sets work, How it works..., There's more...
- functions
- using, as variables / Using functions as variables in Julia, There's more...
G
- @generated macro
- used, for loop unrolling / Loop unrolling with the @generated macro, How it works..., There's more...
- Gaussian integer / Getting ready
- generated functions / Macros and generated functions
- Genie.jl
- reference / See also
- Git
- reference / Getting ready
- Git logs
- parsing, with regular expressions / Parsing Git logs with regular expressions, How to do it..., How it works...
- GLM.jl
- reference / There's more...
H
- High Performance Computing (HPC) / There's more...
- Hypertext Transfer Protocol (HTTP) / How it works...
I
- @inbounds
- used, for improving code performance / Improving code performance using @inbounds, How it works..., There's more...
- IE Enhanced Security Configuration / There's more...
- in-memory streams
- working with, IOBuffer used / Using IOBuffer to efficiently work with in-memory streams, There's more..., See also
- indexing protocol / There's more...
- input/output (I/O) / Getting ready
- Integrated Desktop Environments (IDEs) / Julia IDEs
- Intel
- website link / Option 2 - build Julia with Intel MKL (without Intel LIBM)
- Intel C++ compilers
- reference / Option 3 - build Julia with Intel MKL and with Intel LIBM
- Intel LIBM
- reference / How it works...
- Intel Math Library
- reference / Option 3 - build Julia with Intel MKL and with Intel LIBM
- Intel Parallel Studio XE
- reference / Option 3 - build Julia with Intel MKL and with Intel LIBM
- IOBuffer
- used, for working with in-memory streams / Using IOBuffer to efficiently work with in-memory streams, There's more..., See also
- IProfile.jl package / See also
- Iris
- reference / Getting ready
- iteration protocol
- reference / See also
J
- Java
- installation link / Configuring JDBC in Julia
- JavaScript Object Notation (JSON) data
- working with / Working with JSON data, How it works...
- reference / See also
- JDBC (Java Database Connectivity)
- about / Working with databases in Julia, Getting ready for JDBC and Oracle
- Oracle / Getting ready for JDBC and Oracle
- configuring / Configuring JDBC in Julia
- Julia
- installing, from binaries / Installing Julia from binaries
- installing, on Linux Ubuntu / Installing Julia on Linux Ubuntu
- reference / Installing Julia on Linux Ubuntu, Configuring Julia with Nano, See also
- installing, on Windows /
- support for text editors / Julia support for text editors
- configuring, with Nano / Configuring Julia with Nano
- configuring, with Vim / Configuring Julia with Vim
- configuring, with Emacs / Configuring Julia with Emacs
- building, from sources on Linux / Building Julia from sources on Linux, How to do it...
- building, without Intel's MKL / Option 1 - build Julia without Intel's MKL
- building, with Intel MKL (without Intel LIBM) / Option 2 - build Julia with Intel MKL (without Intel LIBM)
- building, with Intel LIBM / Option 3 - build Julia with Intel MKL and with Intel LIBM
- building, with Intel MKL / Option 3 - build Julia with Intel MKL and with Intel LIBM
- compiler scripts, reference / How it works...
- executing, in Cloud9 IDE / Running Julia inside the Cloud9 IDE in the AWS cloud, See also
- customizing, on startup / How to customize Julia on startup
- command, executing on startup / Running a single Julia command on startup
- script, executing / Running a script every time Julia starts
- environment variables, reference / There's more...
- setting up, for multiple core usage / Setting up Julia to use multiple cores, How it works..., There's more...
- multiple processes, starting / Multiple processes
- multiple threads / Multiple threads
- interaction options / Useful options for interaction with Julia, How to do it...
- computation results, displaying / Displaying computation results in Julia
- configuration, for working with JupyterLab / Configuring Julia to work with JupyterLab, How it works...
- configuring with Jupyter Notebook / There's more...
- executing, as background process / Running Julia as a background process, How it works..., There's more...
- documentation, reference / There's more...
- broadcasting / Understanding broadcasting in Julia, How it works..., There's more...
- broadcasting, reference / See also
- functions, reference / See also
- performance issues, reference / See also
- Python, calling / Calling Python from Julia, How it works...
- Julia Base.Serialization
- used, for serializing Julia objects / Serializing Julia objects with Julia Base.Serialization
- JuliaBox
- reference / There's more...
- Julia code
- profiling, reference / Profiling Julia code
- profiling / Profiling Julia code, How to do it..., How it works..., See also
- logging setup / Setting up logging in your code, How to do it...
- setting up / See also
- Julia development workflow
- Revise.jl, using / Julia development workflow with Revise.jl
- reference / See also
- JuliaDiff
- reference / See also
- Julia Editor Support
- reference / See also
- Julia IDEs
- about / Julia IDEs, How to do it...
- Juno / Juno
- Microsoft Visual Studio Code / Microsoft Visual Studio Code
- Sublime Text / Sublime Text
- reference / See also
- JuliaLang
- reference / See also
- Julia numeric types
- structure / Understanding the structure of Julia numeric types with introspection, How to do it..., How it works..., See also
- Julia objects
- serializing, with Julia Base.Serialization / Serializing Julia objects with Julia Base.Serialization
- serializing, with JLD2.jl / Serializing Julia objects with JLD2.jl
- serializing, with BSON.jl / Serializing Julia objects with BSON.jl
- Julia set
- reference / Getting ready
- Julia startup
- script, executing / Running a script on Julia startup
- working / How it works...
- Julia threading API
- reference / See also
- JuMP
- used, for optimization model definition / Optimization using JuMP, How to do it...
- reference / How it works...
- Juno / Juno
- JupyterLab
- Julia, configuring / Configuring Julia to work with JupyterLab
- executing, with Anaconda on Linux / Running JupyterLab with Anaconda on Linux
- reference / See also
- Julia, configuring with Jupyter Notebook / How to do it...
- Jupyter Notebook
- Julia, configuring / Configuring Julia in Jupyter Notebook
- executing, within Julia environment / Running Jupyter Notebook from within the Julia environment
- executing, outside of Julia environment / Running Jupyter Notebook outside of the Julia environment
- working / How it works...
- Julia, configuration in terminal-only cloud environments / Configuring Julia with Jupyter Notebook in Terminal-only cloud environments
L
- Levenberg-Marquardt Method
- reference / Writing a simple optimization routine
- LibGit2.jl package
- reference / There's more...
- LibPQ.jl package
- reference / See also
- likelihood function
- optimization, performing / Estimation using maximum likelihood, How it works...
- reference / Getting ready
- linear regression
- estimating / Estimating a linear regression, How it works...
- linked list
- about / Defining your own types - linked list
- implementing / Getting ready, How it works...
- Linux, on AWS Cloud
- reference / Getting ready
- Linux Intel MKL
- reference / How it works...
- Linux Ubuntu
- Julia, installing / Installing Julia on Linux Ubuntu
- long format / Converting a data frame between wide and narrow formats
- loops
- executing, with conditional statements / Executing loops efficiently with conditional statements, How to do it..., How it works..., There's more...
M
- machine learning models
- building, with ScikitLearn.jl / Building machine learning models with ScikitLearn.jl, How to do it..., How it works...
- macros
- about / Macros and generated functions
- used, for caching function results / Using macros to cache function results
- Math Kernel Library (MKL) / How to do it...
- matrices
- traversing / Traversing matrices efficiently, How it works...
- matrix
- creating, from set of vectors as rows / Creating a matrix from a set of vectors as rows, How to do it..., How it works..., There's more...
- matrix multiplication
- performing / Fast matrix multiplication, How to do it..., How it works..., There's more...
- memoization
- reference / How it works..., See also
- metaprogramming
- about / Metaprogramming, How to do it..., How it works...
- eval() function, working with / Working with the eval function
- Abstract Syntax Tree (AST) / Abstract Syntax Tree (AST)
- reference / See also, See also
- Microsoft Excel files
- reading / Reading and writing Microsoft Excel files, How it works...
- writing / Reading and writing Microsoft Excel files, How it works...
- manipulating, with PyCall.jl and openpyxl / Manipulating Excel files with PyCall.jl and openpyxl
- manipulating, with XLSX.jl / Manipulating Excel files with XLSX.jl
- Microsoft Visual Studio Code
- reference / Microsoft Visual Studio Code
- missing data
- handling / Handling missing data, How it works..., There's more...
- reference / See also
- modules / Julia development workflow with Revise.jl
- Monte Carlo simulations
- reference / Running Monte Carlo simulations
- executing / Running Monte Carlo simulations, How it works..., There's more...
- multiple dispatch
- used, for handling branching behavior / Using multiple dispatch to handle branching behavior, There's more...
- multiprocessing
- using / Multiprocessing in Julia, How to do it..., How it works..., There's more...
- multithreading
- using / Multithreading in Julia, How it works..., There's more...
- mutable types
- versus immutable types / The efficiency of mutable versus immutable types, How to do it..., There's more...
- working / How it works...
- MySQL drivers / Getting ready for MySQL
- MySQL Server
- connecting, with MySQL.jl / Connecting to MySQL Server with MySQL.jl
N
- Nano
- used, for configuring Julia / Configuring Julia with Nano
- nodes, Julia REPL
- Julian / How it works...
- help / How it works...
- shell / How it works...
- package manager / How it works...
- nonlinear constrained optimization
- reference / There's more...
O
- object serialization
- using / Using object serialization in Julia, How to do it..., How it works..., There's more...
- reference / See also
- one-hot approach
- reference / Getting ready
- openpyxl documentation
- reference / See also
- optimization model
- defining, with JuMP / Optimization using JuMP, How to do it..., There's more...
- optimization routine
- writing / Writing a simple optimization routine, How to do it..., How it works..., See also
- Oracle
- reference / Getting Oracle JDBC drivers
- connecting, with JDBC.jl / Connecting to Oracle with JDBC.jl
- Oracle JDBC drivers
- obtaining / Getting Oracle JDBC drivers
P
- packages
- managing / Managing packages, How it works...
- ParallelDataTransfer.jl package
- documentation, reference / See also
- parametric types
- reference / See also
- partial series sums
- used, for approximating π / How to do it..., How it works..., There's more...
- Pi Formulas
- reference / Getting ready
- pivot tables
- creating, by chaining transformations of data frames / Creating pivot tables by chaining transformations of data frames, See also
- pkg
- reference / There's more...
- Plots.jl
- used, for generating plot / Complex plotting with Plots.jl, How to do it..., There's more..., See also
- reference / See also
- PostgreSQL
- connecting, with LibPQ.jl / Connecting to PostgreSQL with LibPQ.jl
- reference / Connecting to PostgreSQL with LibPQ.jl
- primitive types
- defining / Defining primitive types, How to do it..., How it works...
- reference / See also
- project dependencies
- managing / Managing project dependencies, How it works..., There's more...
- PyCall
- reference / See also
- PyPlot.jl package
- reference / See also
- Python
- calling, from Julia / Calling Python from Julia, How it works..., There's more...
Q
- queuing system
- analyzing / Analyzing a queuing system, How to do it..., How it works..., There's more...
- reference / Getting ready
R
- R
- calling, from Julia / Calling R from Julia, How to do it..., How it works...
- libraries, calling from Julia / Option 1 - calling R libraries from Julia
- direct calling, with / Option 2 - directly calling R from Julia with variable interpolation
- command line, using / Option 3 - using the R command line available inside Julia with variable interpolation
- variables, sending / Option 4 - sending variables with their values to R
- r-base
- installation link / Getting ready
- RCall
- documentation link / Getting ready
- RCall.jl package
- reference / See also
- regular expressions
- used, for parsing Git logs / Parsing Git logs with regular expressions, How it works...
- remote Julia processes
- parameters, sending / Sending parameters to remote Julia processes, How to do it..., How it works..., There's more...
- REpresentational State Transfer (REST) / Writing a simple RESTful service
- RESTful service
- writing / Writing a simple RESTful service, How to do it...
- web service, building from scratch / Building a web service from scratch
- web service, building by ZeroMQ and JuliaWebAPI.jl integration / Building a high-performance web service integrating ZeroMQ and JuliaWebAPI.jl, How it works..., There's more...
- Revise.jl
- used, for Julia development workflow / Julia development workflow with Revise.jl, How it works...
- rows, DataFrame
- transforming / Transforming rows of DataFrame, How it works...
S
- ScikitLearn.jl
- used, for building machine learning / Building machine learning models with ScikitLearn.jl, How to do it..., How it works...
- reference / There's more...
- scrapy
- reference / See also
- sets
- working / Creating a function preimage - understanding how dictionaries and sets work, How it works..., See also
- SIMD processor instructions
- reference / How it works...
- single instruction multiple data (SIMD) / How it works...
- split-apply-combine pattern
- in DataFrames / Split-apply-combine in DataFrames, How it works..., There's more...
- SSH tunneling
- reference / See also
- static arrays
- using / Using static arrays, How to do it..., There's more...
- working / How it works...
- reference / See also
- statistical profiler / How it works...
- stderr / How it works...
- stdin / How it works...
- stdout / How it works...
- stream access types
- sequential / How it works...
- random access / How it works...
- streams
- managing / Managing streams, and reading and writing files, There's more...
- stream types
- input streams / How it works...
- output streams / How it works...
- input-output streams / How it works...
- strings
- reference / See also
- Sublime Text / Sublime Text
- subtyping
- working / Understanding subtyping in Julia, How it works..., There's more...
- Sudoku
- reference / Using array views to avoid memory allocation
T
- Taro package
- reference / There's more...
- terminal-only cloud environments
- Julia, configuring with Jupyter Notebook / Configuring Julia with Jupyter Notebook in Terminal-only cloud environments
- time
- working with / Working with date and time, How to do it..., How it works..., There's more...
- time module
- working with / Working with date and time, How it works..., There's more...
- transformations, data frames
- chaining, for creation of pivot tables / Creating pivot tables by chaining transformations of data frames, See also
- types
- reference / There's more...
- type stability, Julia code
- used, for detecting problems / Ensuring type stability of your code, How it works...
U
- UTF-8 strings
- working with / Working with UTF-8 strings, How to do it..., How it works..., See also
V
- Vim
- used, for configuring Julia / Configuring Julia with Vim
W
- web services / Writing a simple RESTful service
- wide format / Converting a data frame between wide and narrow formats
- Windows
- Julia, installing /
X
- xlrd package
- reference / See also
- XLSX.jl documentation
- reference / See also
- XPath language
- reference / How it works...
Z
- ZMQ.jl package
- reference / See also