Gibbs starts the New Year with two languages and a new productivity tool.
Ah! The fresh aroma of the New Year accompanied by the aroma of fresh new tech! I love the smell of geekiness ... Mmmm. This week, we'll start with some uber-geekosity: A couple of really interesting programming languages.
The first is called Pure and it's web site describes the language as "a modern-style functional programming language based on term rewriting. It offers equational definitions with pattern matching, full symbolic rewriting capabilities, dynamic typing, eager and lazy evaluation, lexical closures, built-in list and matrix support and an easy-to-use C interface."
Wikipedia explains that "functional programming" is "a programming paradigm that treats computation as the evaluation of mathematical functions and avoids state and mutable data," and the site gives an example of a Pure program that prints the first 1,000 Fibonacci numbers:
extern int puts(char*); do (puts.str) (take 1000 (fibs 0L 1L)) with fibs a b = a : fibs b (a+b) & end;
The other language that's worth checking out is Julia, "a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library."
Julia's support for parallelism is intriguing as the language "provides a number of key building blocks for distributed computation, making it flexible enough to support a number of styles of parallelism, and allowing users to add more." The site gives an example of counting, in parallel, the number of heads in a large number of coin tosses:
nheads = @parallel (+) for i=1:100000000 randbit() end
The @parallel directive automatically distributes the calculation "across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node."
A web-based interactive Julia session, plotting an oscillating function and a Gaussian random walk.
I'd love to see Julia implemented on Parallela, a Kickstarter project I was amped about last year, that succeeded in raising almost $900,000 on its goal of $750,000. Described as "A Supercomputer For Everyone," this $99 board, which runs Linux, will support a performance of 26 GFLOPS and should be perfect for a language like Julia.
Enough of the rarified stuff: Here's something that may make you more productive in 2013 ... Mindjet Tasks.
I still think that these apps ... which are free! ... are indispensable planning tools. Late last year, Mindjet released another iOS app that's related to mind-mapping: Mindjet Tasks.
Mindjet Tasks on an iPhone.
Mindjet Tasks allows you and your team to set up dashboards for projects so you can coordinate planning from wherever you have a cell signal. If you do have some kind of connection, then Mindjet Tasks allows you to make on-the-fly task assignments with real-time updates and team postings. It will also auto-prioritize tasks and can share data with MindJet on OS X and Windows.
I've always been an admirer of Mindjet and Mindjet Tasks looks like a very slick addition to their product line. I'll give it a Gearhead rating of 5 out of 5!