Presentation: Tweet"Living in Your Data"
In this explore the past, present and future of array programming languages. They are one of the most expressive and productive languages yet remain relatively unknown.T hey are still used heavily in financial markets globally. Array developers made the first wide spread use of learning by katas and patterns, then called idioms, and including the now pervasive map reduce. The dynamic Array languages originated with APL followed by APL2, NIAL, J and k.
Often considered high barrier languages, we argue that they are much like a challenging instrument that when mastered allow to make amazing music with seeming little effort. We will also discuss why Vector programming is a natural low impedance approach for dealing with today’s high performance NoSQL and NewSQL column stores.
In the late 60s and early 70s Fortran, Lisp, COBOL, APL and Basic were the hot languages. Lisp, APL and later Basic pioneered the “the repl” of interactive computing. APL provides an efficient array/vector language for numeric computing. and found wide acceptance in financial, engineering and statistical computing. APL inspired – the Smalltalk environment; array extensions in other general languages such as Python NumPy and NamedTuple; F-Script for IOS Cocoa; special purpose languages such as MatLab and R; to recent proposed extensions for value types in Java; along with special purpose vector hardware like GPUs and recent Intel AVX instructions.
