schedule 04:00 PM - 05:30 PM place Grand Ball Room 1 people 7 Attending

Julia is a programming language for data science and numerical computing. Julia is a high-level, high-performance dynamic language, it uses just-in-time compilation to provide fast machine code - dynamic code runs at about half the speed of C, and orders of magnitude faster than traditional numerical computing tools.

Julia borrows two main ideas from Lisp lore:

  1. Multiple-dispatch: a method is identified by a name and the types of all of its arguments (traditional OOP only uses the type of a single argument) multiple-dispatch allows for a natural programming model suitable for mathematics and general purpose programming. Interestingly, the same feature is responsible for Julia's ability to generate really fast machine code.
  2. Macros: Julia has syntax that is familiar to users of other technical computing environments, however, Julia expressions are homoiconic -- Julia code can be represented as Julia data structures, and transformed from one form to another via hygienic macros. There are some very interesting uses of macros to create domain-specific languages for effective programming. 
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Outline/structure of the Session

- What is Julia and why Julia

- Simple expressions and syntax

- Basic functional programming

- Type system: mutable and immutable types, abstract type, type parameters, types with constant parameters

- Multiple-dispatch through examples

- Quoted expressions and Expr type

- Macros and macro expansion

- Examples of DSLs created with macros

- Some simple benchmarks

- How to inspect low-level generated code (llvm and native)

- Julia's module system and how to create a package

Learning Outcome

A nearly complete understanding of Julia

Target Audience

Everyone interested in Julia

schedule Submitted 11 months ago

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