Koodihommia

The Advent of Code in Elixir continues to be a humbling experience year after year. One of my weaknesses in programming puzzles and, in general, is a lack of intuition on which common collection operations to use. Or, to be more precise, since I don't know them intimately, I don't know when to apply them in code. It is way too often I get feedback on a code review on  why do you do this thing with a plain map or reduce while you could use this and that helper function . Often, one can replace a custom function with a more expressive composition of well-known "stock" functions. I think a recap is in order. I enumerate in this post the most useful ones for me - or at least those I get the most feedback from. These are indeed useful even in the basic CRUD app!  I took the names from Scala and Elixir standard libraries and checked that functions with similar names exist in Lodash and Ramda JS external libraries Chunk/Group/Split/Partition Make a list of lists based on a f...

Slides https://goo.gl/9hPZEZ Youtube: https://www.youtube.com/watch?v=Cjgbmk3t6vg&

As any developer heading towards a burn-out, I spent my summer vacation learning a new programming language. I chose Elixir because it is a functional language with actor-like programming style. I thought that at least the latter feature would help me get started. Actually, the first thing I ended up figuring out was how the Erlang runtime works. I was interested in how the Erlang processes work in relation to the operating system. It turned out that the concurrency model is not based on spawning multiple user level threads but rather on Erlang runtime abstractions which isolate the running code to the Erlang processes which can communicate with each other via message passing. Erlang runtime has a scheduler which can run multiple processes concurrently on the runtime with a limited set of OS user level threads (number of available CPU threads). This is hardly surprising after reading about high performing applications written in Erlang. Threads can be expensive especially in the ca...