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  • Book Overview & Buying Getting started with Julia Programming Language
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Getting started with Julia Programming Language

Getting started with Julia Programming Language

By : Ivo Balbaert
4.1 (17)
Buy this Book
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Getting started with Julia Programming Language

Getting started with Julia Programming Language

4.1 (17)
By: Ivo Balbaert
Buy this Book

Overview of this book

This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
The Rationale for Julia
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The Rationale for Julia
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The scope of Julia
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Julia's place among the other programming languages
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A comparison with other languages for the data scientist
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Useful links
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Summary
2
1. Installing the Julia Platform
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1. Installing the Julia Platform
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Installing Julia
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Working with Julia's shell
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Startup options and Julia scripts
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Packages
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Installing and working with Julia Studio
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Installing and working with IJulia
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Installing Sublime-IJulia
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Installing Juno
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Other editors and IDEs
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How Julia works
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Summary
3
2. Variables, Types, and Operations
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2. Variables, Types, and Operations
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Variables, naming conventions, and comments
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Types
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Integers
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Floating point numbers
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Elementary mathematical functions and operations
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Rational and complex numbers
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Characters
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Strings
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Regular expressions
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Ranges and arrays
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Dates and times
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Scope and constants
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Summary
4
3. Functions
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3. Functions
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Defining functions
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Optional and keyword arguments
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Anonymous functions
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First-class functions and closures
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Recursive functions
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Map, filter, and list comprehensions
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Generic functions and multiple dispatch
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Summary
5
4. Control Flow
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4. Control Flow
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Conditional evaluation
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Repeated evaluation
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Exception handling
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Scope revisited
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Tasks
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Summary
6
5. Collection Types
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5. Collection Types
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Matrices
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Tuples
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Dictionaries
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Sets
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Example project – word frequency
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Summary
7
6. More on Types, Methods, and Modules
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6. More on Types, Methods, and Modules
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Type annotations and conversions
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The type hierarchy – subtypes and supertypes
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User-defined and composite types
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Types and collections – inner constructors
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Type unions
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Parametric types and methods
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Standard modules and paths
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Summary
8
7. Metaprogramming in Julia
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7. Metaprogramming in Julia
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Expressions and symbols
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Eval and interpolation
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Defining macros
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Built-in macros
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Reflection capabilities
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Summary
9
8. I/O, Networking, and Parallel Computing
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8. I/O, Networking, and Parallel Computing
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Basic input and output
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Working with files
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Using DataFrames
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Working with TCP sockets and servers
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Interacting with databases
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Parallel operations and computing
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Summary
10
9. Running External Programs
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9. Running External Programs
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Running shell commands
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Calling C and FORTRAN
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Calling Python
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Performance tips
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Summary
11
10. The Standard Library and Packages
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10. The Standard Library and Packages
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Digging deeper into the standard library
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Julia's package manager
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Publishing a package
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Graphics in Julia
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Using Gadfly on data
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Summary
12
A. List of Macros and Packages
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Macros
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List of packages
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Index
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Index

Chapter 3. Functions

Julia is foremost a functional language because computations and data transformations are done through functions; they are first-class citizens in Julia. Programs are structured around defining functions and to overload them for different combinations of argument types. This chapter discusses this keystone concept, covering the following topics:

  • 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
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Programming languages
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Getting started with Julia Programming Language
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