This talk is an introduction of sorts to Hy, a Lisp dialect embedded in Python. We'll explore the semantic designs of Hy from a Lisp programmer's perspective, and we'll look at how Hy gives you the best of Lisp-style functional programming, with the ability to hook into Python's ecosystem.

The primary objective of this session is to showcase Javascript as a viable language for mathematical and scientific computing. We’re going to explore some of the best libraries out there for symbolic math, statistics, set theory, as well as machine and deep learning, as well as talk about how tools like NaCl and d3.js, can be used for mathematical models that can run in the browser, and on the server.

This talk explores the initial motivation behind building F# as a viable language for scientific computing, and how far the ecosystem around F# has come, to realize this. We'll also dive into how F# interacts with other languages such as Python, R and Julia, in order to "cannibalize" their respective libraries. We'll also do some quick live-coding, where I'd walk the participants through running some quick ML algorithms in F#, work on a bit of symbolic computing, as well as use F# to hook into libraries in Python, R and Julia for situations where similar libraries for F# don't exist.