Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications

Cover
Title Page
Copyright and Credits
Packt Upsell
Contributors
Table of Contents
Preface
Chapter 1: Installing the Julia Platform
	Installing Julia
		Windows OS
		OS X
		Linux OS
		Building from source
		JuliaPro
	Working with Julia's REPL
	Startup options and Julia scripts
	Packages
		Adding a new package
	Installing and working with IJulia
	Installing Juno
	Installing julia-vscode
	Installing Sublime-IJulia
	Other editors and IDEs
	How Julia works
	Summary
Chapter 2: Variables, Types, and Operations
	Variables, naming conventions, and comments
	Types
	Integers
	Floating point numbers
	Elementary mathematical functions and operations
	Rational and complex numbers
	Characters
	Strings
		Formatting numbers and strings
	Regular expressions
	Ranges and arrays
		Other ways to create arrays
		Some common functions for arrays
	Dates and times
	Scope and constants
	Summary
Chapter 3: Functions
	Defining functions
	Optional and keyword arguments
	Anonymous functions
	First-class functions and closures
	functions
	Broadcasting
	Map, filter, and list comprehensions
	Generic functions and multiple dispatch
	Summary
Chapter 4: Control Flow
	Conditional evaluation
	Repeated evaluation
		for loops
		while loops
		The break statement
		The continue statement
	Exception handling
	Scope revisited
	Tasks
	Summary
Chapter 5: Collection Types
	Matrices
	Tuples
	Dictionaries
		Keys and values – looping
	Sets
	An example project – word frequency
	Summary
Chapter 6: More on Types, Methods, and Modules
	Type annotations
		Type conversions and promotions
	The type hierarchy – subtypes and supertypes
	Concrete and abstract types
	User-defined and composite types
		When are two values or objects equal or identical?
		A multiple-dispatch example
	Types and collections – inner constructors
	Type unions
	Parametric types and methods
	Standard modules and paths
	Summary
Chapter 7: Metaprogramming in Julia
	Expressions and symbols
	Evaluation and interpolation
	Defining macros
	Built-in macros
		Testing
		Debugging
		Benchmarking
		Starting a task
	Reflection capabilities
	Summary
Chapter 8: I/O, Networking, and Parallel Computing
	Basic input and output
	Working with files
		Reading and writing CSV files
	Using DataFrames
		Other file formats
	Working with TCP sockets and servers
	Interacting with databases
	Parallel operations and computing
		Creating processes
		Using low-level communications
		Parallel loops and maps
	Summary
Chapter 9: Running External Programs
	Running shell commands
		Interpolation
		Pipelining
	Calling C and Fortran
	Calling Python
	Performance tips
		Tools to use
	Summary
Chapter 10: The Standard Library and Packages
	Digging deeper into the standard library
	Julia's package manager
		Installing and updating packages
	Graphics in Julia
	Using Plots on data
	Summary
Other Books You May Enjoy
Index