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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)
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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
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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
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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
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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
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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

Summary

In this introduction, we gave an overview of Julia's characteristics and compared them to the existing languages in its field. Julia's main advantage is its ability to generate specialized code for different input types. When coupled with the compiler's ability to infer these types, this makes it possible to write the Julia code at an abstract level while achieving the efficiency associated with the low-level code. Julia is already quite stable and production ready. The learning curve for Julia is very gentle; the idea being that people who don't care about fancy language features should be able to use it productively too and learn about new features only when they become useful or needed.

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Programming languages
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Getting started with Julia Programming Language
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