Introduction to Julia Training Course

Introduction to Julia

• The role Julia plays in the tech landscape
• How Julia can enhance your data analysis workflow
• Key takeaways from this course
• Getting started with Julia's REPL
• Alternative development environments for Julia: Juno, IJulia, and Sublime-IJulia
• Exploring the Julia ecosystem: documentation and package search
• Additional resources: Julia forums and community

Strings: Hello World

• Introduction to the Julia REPL and batch execution using "Hello World"
• Julia String Types

Scalar Types

• Understanding variables: why use names and types?
• Integers
• Floating-point numbers
• Complex numbers
• Rational numbers

Arrays

• Vectors
• Matrices
• Multi-dimensional arrays
• Heterogeneous arrays (cell arrays)
• Comprehensions

Other Elementary Types

• Tuples
• Ranges
• Dictionaries
• Symbols

Building Your Own Types

• Abstract types
• Composite types
• Parametric composite types

Functions

• Defining a function in Julia
• Julia functions as methods operating on types
• Multiple dispatch
• How multiple dispatch differs from traditional object-oriented programming
• Parametric functions
• Functions that modify their inputs
• Anonymous functions
• Optional function arguments
• Required function arguments

Constructors

• Inner constructors
• Outer constructors

Control Flow

• Compound expressions and scoping
• Conditional evaluation
• Loops
• Exception Handling
• Tasks

Code Organization

• Modules
• Packages

Metaprogramming

• Symbols
• Expressions
• Quoting
• Internal representation
• Parsing
• Evaluation
• Interpolation

Reading and Writing Data

• Filesystem operations
• Data I/O
• Low-level Data I/O
• Dataframes

Distributions and Statistics

• Defining distributions
• Interface for evaluating and sampling from distributions
• Mean, variance, and covariance
• Hypothesis testing
• Generalized linear models: a linear regression example

Plotting

• Plotting packages: Gadfly, Winston, Gaston, PyPlot, Plotly, Vega
• Introduction to Gadfly
• Interact and Gadfly

Parallel Computing

• Introduction to Julia's message passing implementation
• Remote calling and fetching
• Parallel map (pmap)
• Parallel for
• Scheduling via tasks
• Distributed arrays