Introduction to Julia Training Course

Introduction to Julia

• Identifying the niche Julia fills
• Leveraging Julia for data analysis
• Course expectations and outcomes
• Getting started with Julia's REPL
• Alternative development environments: Juno, IJulia, and Sublime-IJulia
• Navigating the Julia ecosystem: documentation and package discovery
• Seeking additional support: Julia forums and community resources

Strings: Hello World

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

Scalar Types

• Concepts of variables: naming and typing
• Integers
• Floating-point numbers
• Complex numbers
• Rational numbers

Arrays

• Vectors
• Matrices
• Multi-dimensional arrays
• Heterogeneous arrays (cell arrays)
• Array comprehensions

Other Elementary Types

• Tuples
• Ranges
• Dictionaries
• Symbols

Creating Custom Types

• Abstract types
• Composite types
• Parametric composite types

Functions

• Defining functions in Julia
• Julia functions as methods operating on types
• Understanding 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 rules
• Conditional evaluation
• Loops
• Exception handling
• Tasks

Code Organization

• Modules
• Packages

Metaprogramming

• Symbols
• Expressions
• Quoting mechanisms
• Internal representation of code
• Parsing processes
• Evaluation techniques
• Interpolation

Reading and Writing Data

• Filesystem operations
• Data Input/Output (I/O)
• Lower-level Data I/O
• DataFrames

Distributions and Statistics

• Defining statistical distributions
• Interfaces for evaluating and sampling from distributions
• Calculating mean, variance, and covariance
• Hypothesis testing
• Generalized linear models: a linear regression case study

Plotting

• Overview of plotting packages: Gadfly, Winston, Gaston, PyPlot, Plotly, Vega
• Introduction to Gadfly
• Integrating Interact with Gadfly

Parallel Computing

• Overview of Julia's message passing implementation
• Remote calling and data fetching
• Parallel map (pmap)
• Parallel for loops
• Scheduling via tasks
• Distributed arrays