Lesson 6
Function Iteration with map, filter, remove, and reduce
Exploring Advanced Iteration Functions

Welcome back! You're on an exciting journey in mastering Clojure's iteration techniques. So far, you've gotten comfortable with doseq and dotimes to iterate over collections and perform repeated tasks. Now, we'll elevate your iteration skills by diving into some of Clojure’s most powerful functions: map, filter, remove, and reduce.

What You'll Learn

In this lesson, you will explore four critical functions for functional iteration:

  1. map: Applies a function to each item in a collection and returns a new collection with the results.
  2. filter: Selects items from a collection that meet a specified condition.
  3. remove: Excludes items from a collection that meet a specified condition.
  4. reduce: Aggregates values from a collection using a specified function.

For instance, imagine you are working on a shooter game, and you need to manage enemy health. These functions can help you double health values, filter out weak enemies, remove certain enemies, and calculate the total health of all enemies. Here's a sneak peek:

Clojure
1(def enemy-healths [100 80 60]) 2 3;; Using `map` to apply a function to each item in a collection 4(def doubled-healths (map #(* 2 %) enemy-healths)) 5(println "Doubled enemy healths:" doubled-healths) ;; (200 160 120) 6 7;; Using `filter` to select items based on a condition 8(def alive-enemies (filter #(> % 50) enemy-healths)) 9(println "Alive enemies with health > 50:" alive-enemies) ;; (100 80 60) 10 11;; Using `remove` to exclude items based on a condition 12(def weak-enemies (remove #(>= % 80) enemy-healths)) 13(println "Enemies with health < 80:" weak-enemies) ;; (60) 14 15;; Using `reduce` to aggregate values 16(def total-health (reduce + enemy-healths)) 17(println "Total health of all enemies:" total-health) ;; 240
Why It Matters

Mastering these advanced iteration functions allows you to write more expressive and concise code. You'll be able to handle collections more effectively, manipulate data with greater flexibility, and perform complex operations with ease. Whether you are processing data or controlling game mechanics, these tools will enable you to create more sophisticated and efficient programs.

Excited to see these functions in action? Let's move on to the practice section and put your new skills to the test!

Enjoy this lesson? Now it's time to practice with Cosmo!
Practice is how you turn knowledge into actual skills.