Thinking Functionally With Scala

Kevin Jacobs solves a simple problem using Scala in a few ways and explains functional programming concepts along the way:

Why is this code better than the functional approach? Note that it saves an enormous amount of time since this approach does not need to scan through all the integers! It are simply a few calculations (at which a computer is good at). All the code (the naive approach and the better approach) can be found on GitHub.

Having a solid understanding of mathematics and logic can help you come up with superior algorithms, but make sure you comment them in detail so that the next dev (who might not understand the underpinnings of your code) doesn’t replace it with a brute-force method because it’s “easier.”

Related Posts

Spark for .NET Developers

Ed Elliott has a long-form post covering spark-dotnet: The .NET driver is made up of two parts, and the first part is a Java JAR file which is loaded by Spark and then runs the .NET application. The second part of the .NET driver runs in the process and acts as a proxy between the […]

Read More

Parsing Rows Manually with Spark .NET

Ed Elliott shows how we can solve a challenging problem when newlines are in the wrong place: So the first thing we need to do is to read in the whole file in one chunk, if we just do a standard read the file will get broken into rows based on the newline character: var […]

Read More

Categories

July 2016
MTWTFSS
« Jun Aug »
 123
45678910
11121314151617
18192021222324
25262728293031