Tag Archives: Haskell

Hieroglyphics as types, whitespace as function names

I came across some curious Haskell tweets lately and decided to group them in a unique place.

https://twitter.com/kaepora/status/581437283200581632

These made me remember about a curious fact: did you know that there are other types of spaces in Unicode, like U+00A0, the no-break space? What about using it in Ruby? (please don’t)

Whenever I see someone talking about non-ASCII characters in programming languages, I always get back to APL, an old language that used extremely concise notation similar to mathematics itself. Due to most keyboards being horrible, it never caught on. :-(

(Mental note: having some kind of LaTeX math symbols embedded into a language for scientific computing would be… interesting.)

Learning new programming languages

Programming languages are possibly one of the simplest parts of software engineering. You can know your language from the inside-out and still have problems in a project — knowing the tool doesn’t imply knowing the craft. But learning a new language is really a lot of fun.

Inspired by Avdi Grimm’s roadmap for learning new languages, I decided to give it a try and put my current interests in writing.

  • Julia – http://julialang.org/
    I have experience writing code in MATLAB, Octave, Python (with Numpy, Scipy and Pandas) and a bit of R, and still I’m excited with Julia.There are at least 3 features of Julia that are powerful and make me wish to work with it: its Just-In-Time compiler, parallel for and the awesome metaprogramming inherited from LISP.

    The drawback is… is… well, I didn’t have time to really use it and get comfortable writing Julia programs. Yet.

  • Haskell – https://www.haskell.org/

    I already tried learning Haskell a couple of times. Maybe 3 or 4 or 5 times. I wrote programs based on mathematics and some simple scripts, most of the syntax isn’t strange anymore, even monads make sense now; however, I still feel a bit stiff when writing Haskell. I don’t know.

    Two books I recently bought might help with that – Real World Haskell and Parallel and Concurrent Programming in Haskell. I probably need to motivate myself to write something useful with it.

  • Rust – http://www.rust-lang.org/

    There is a quote in Rust’s website that sums my expectations of it:

    Rust is a systems programming language that runs blazingly fast, prevents nearly all segfaults, and guarantees thread safety.

    I know how to read C/C++ and even write a bit of it, but it’s messy and takes more time than I usually have for side projects. Writing code that is safe & fast shouldn’t be so hard. ;)

All-in-all, this is a very brief list. However, I don’t think I should focus on more languages right now. To be honest, I think that my next learning targets are in applied mathematics. I need a stronger foundation in Partial Differential Equations and Probability Theory. There are several topics in optimization that I should take the time to study. Calculus of variations also seems quite cool.

(good thing that I have friends in pure math to help me find references!)