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Getting Started with Julia
Table of Contents
Getting Started with Julia
Credits
About the Author
About the Reviewers
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
The Rationale for Julia
The scope of Julia
Julia's place among the other programming languages
A comparison with other languages for the data scientist
MATLAB
R
Python
Useful links
Summary
1. Installing the Julia Platform
Installing Julia
Windows version – usable from Windows XP SP2 onwards
Ubuntu version
OS X
Building from source
Working with Julia's shell
Startup options and Julia scripts
Packages
Adding a new package
Installing and working with Julia Studio
Installing and working with IJulia
Installing Sublime-IJulia
Installing Juno
Other editors and IDEs
How Julia works
Summary
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
How to convert an array of chars to a string
Dates and times
Scope and constants
Summary
3. Functions
Defining functions
Optional and keyword arguments
Anonymous functions
First-class functions and closures
Recursive functions
Map, filter, and list comprehensions
Generic functions and multiple dispatch
Summary
4. Control Flow
Conditional evaluation
Repeated evaluation
The for loop
The while loop
The break statement
The continue statement
Exception handling
Scope revisited
Tasks
Summary
5. Collection Types
Matrices
Tuples
Dictionaries
Keys and values – looping
Sets
Making a set of tuples
Example project – word frequency
Summary
6. More on Types, Methods, and Modules
Type annotations and conversions
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?
Multiple dispatch example
Types and collections – inner constructors
Type unions
Parametric types and methods
Standard modules and paths
Summary
7. Metaprogramming in Julia
Expressions and symbols
Eval and interpolation
Defining macros
Built-in macros
Testing
Debugging
Benchmarking
Starting a task
Reflection capabilities
Summary
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
Distributed arrays
Summary
9. Running External Programs
Running shell commands
Interpolation
Pipelining
Calling C and FORTRAN
Calling Python
Performance tips
Tools to use
Summary
10. The Standard Library and Packages
Digging deeper into the standard library
Julia's package manager
Installing and updating packages
Publishing a package
Graphics in Julia
Using Gadfly on data
Summary
A. List of Macros and Packages
Macros
List of packages
Index
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