Exploring the breadth of software engineering.
Dependent types have been gaining a lot of attention among programmers. Some would say it’s “the next thing” in programming. Why is it gaining popularity? In this post, I hope to show some of the advantages of dependent types and get you started on programming in dependent types. To understand dependent types, let’s take a…
Here at Cryptium Labs, besides delegation services and protocol development, we are also developing a smart contract language called Juvix. A few talks I went to at Devcon 5 have me reflecting on some thoughts of smart language design. I’d like to tie them up with our Juvix work and share them in this post….
In this post, I continue going through the famous paper “Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire” by Meijer et al. They show that we can treat recursions as separate higher order functions known as recursion schemes. Each of the four things in the paper title corresponds to a type of recursion scheme. …
In the last post we talked about using unfolds to zip and more in OCaml. In this post we write the equivalent functions in Haskell. Zip is in the standard library in Haskell. It’s actually so elegant that there isn’t much point using unfolds instead. To zip two lists, simply use the zip function: Prelude>…
This post picks up from where we left off here, where I explained anamorphisms. In the last post we looked at iterating with anamorphisms. Here we look at another example of applying unfolds: zip. Zip Zip may not be the most common example of anamorphisms but I want to cover it because it’s included in…
This post picks up from where we left off here, in which I explained anamorphisms. Here we look at another example of applying unfolds: iterate. Iterate Iterate is one of the most common uses of unfold. The definition of the iterate function is: iterate f x = Cons (x, iterate f (f x)) E.g., let…
As a software engineer who wants to work with blockchains, you may ask: what languages should I learn? Answers on the internet (e.g., here, here, and here) mostly recommend prominent languages like C++, Python, Java, and Javascript, and the smart contract language Solidity. None of them mention any functional languages! In this post I’ll explain…
In this post, I continue going through the famous paper “Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire” by Meijer et al. They show that we can treat recursions as separate higher order functions known as recursion schemes. Each of the four things in the paper title corresponds to a type of recursion scheme. …
While doing my OCaml MOOC exercise I came across a trie implementation for looking up words. I find that the way OCaml treats strings is very different from the way Haskell does it. It leads to different ways to implement the trie in the two languages. Strings and Tries in Haskell Haskell is a pure…
Run Time Versus Compile Time Error Run time errors are those that happen when the program runs, as opposed to compile time errors which happen when the program compiles. In a sense, having compile time errors is no big deal, because the errors guarantee that the ill-defined program won’t be running. The programmer can fix…