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Byte-sized functional programming: Mapping out your data

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Procedural code tends to think in terms of writing out steps, and so the usual way to work with a list is to iterate it using a for or foreach loop.

Functional code tends to think in terms of the relationships and transformations between data, where those relationships and transformations are defined as functions. That means the natural way to work with a list is to define a function that is the relationship between one list and another. The most common way of doing that is with a "map," which in PHP usually means the array_map() function.

Byte-sized functional programming: Pure functions make testing easy

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When testing stateful code, you have to first set up all of the explicit and implicit state that a given piece of code depends on. If the object you're testing has many dependencies that could be complex, or references global variables, or calls many other routines with their own dependencies, you may be looking at a lot of complex setup that makes testing hard to do effectively.

Pure functions greatly reduce that problem.

Byte-sized functional programming: Pure functions encourage small code

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One of the many pieces of advice for a long-term sustainable code base is to keep code small. The larger a code base is, the more effort it takes to understand all the moving parts. Your brain can only keep so much mental model of your code in it at once, and if the code you're looking at is too large then what you can fit in your own "active memory" at once then you will have an increasingly hard time understanding it.

Most useful applications tend to grow larger than what the typical human can fit in their active memory, however, so you need a way to break up your code so you can load a relevant piece into your brain at once to understand and debug it. Usually that takes the form of encapsulation, coupling, cohesion, and other common object-oriented vernacular.

But what about just a pure function?