Another tenet of functional programming philosophy is not to modify data outside the function. In practice, this means to avoid modifying the input arguments to a function. Instead, the return ...

leading to transparent data flow, easier testing, and more predictable behaviour. Kotlin seamlessly blends object-oriented and functional programming, allowing for the gradual adoption of ...

It’s just like “normal” programming, but… you can’t modify variables… you can’t print… you can’t use mutable data structures. But no. Functional programming isn’t what it isn’t.

In the past two columns, we’ve looked at higher-order functions and talked a little bit about the power of functional programming ... alone can be used as data and data structures.

Very briefly, the main difference between the two models is that in functional programming data is immutable and functions are 'pure' by default, meaning that they will always return the same ...

Another difference between observables and promises is their execution flow ... a common practice to use functional-style programming to manipulate arrays to get the data we need and avoid ...

principles of functional programming languages such as use of immutable data, flow control using functional calls and recursions; practical aspects of algorithmic concepts such as searching. The ...

React inspired Ernst to try functional programming for his own task. Facebook engineers also developed and released Haxl, a Haskell library for querying data sets. Ernst would like to release as ...

But we do notice that a lot of microcontroller code looks for changes in the environment, and then acts (more or less asynchronously) on that data ... text reads “Functional programming combines ...