location_city Bengaluru schedule Sep 12th 01:30 - 02:15 PM place Grand Ballroom 2

Escher.jl is a Julia package designed to give anyone the power to create sophisticated web-based UIs that are driven by data on server and inputs from the user. Escher is based on the principles of denotative programming - denotations of UI components (called Virtual DOM nodes) are handed off to the browser to be rendered. The result is a framework that abstracts the capabilities of CSS, JavaScript and HTML elements into a single consistent library. Interaction in Escher is done via Reactive.jl - a port of Elm's signal library. In this talk I will explain the inner workings of this Signal library, and of Escher and show how all the pieces fit together to form a convenient functional framework for full-stack web development.

 
 

Outline/Structure of the Talk

- What is FRP

- Denotation

- Denoting a web page

- Signals

- Composable abstractions over JavaScript via web components

- Web application as an a signal graph

- Demonstrations of terse code

Learning Outcome

Learn about a new, effective way of programming web applications. Solidify understanding of Virtual DOM - a necessary device for functional programming on the web. Learn about how a signal framework works.

Target Audience

Web developers, FRP enthusiasts

schedule Submitted 5 years ago

  • Morten Kromberg
    keyboard_arrow_down

    Morten Kromberg / Jay Foad - Array Oriented Functional Programming with Dyalog

    480 Mins
    Workshop
    Beginner

    Dyalog is a modern, array-first, multi-paradigm programming language, which supports functional, object-oriented and imperative programming based on an APL language kernel. During the morning and early afternoon, Dyalog's functional language guru John Scholes will introduce the fundamentals of functional programming in APL. At the end of the day, Dyalog CTO Morten Kromberg will round off with an application development session, showing how a simple web application with a HTML5/JS front-end and a RESTful web service can be used to deliver the power of APL to end users, or as embeddable components for other application tools. The "hands on" sections of the workshop can be followed under Mac OS X, Linux, or Microsoft Windows.

  • Shashi Gowda
    keyboard_arrow_down

    Shashi Gowda / Viral B. Shah - Julia - A Lisp for Fast Number Crunching

    240 Mins
    Workshop
    Beginner

    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. 

    (I will be presenting this workshop along with Viral B Shah - co-creator of Julia)