This pattern works for:
📈 Breaking data streams on triggers
🧠 Segmenting user sessions by logout events
🔢 Splitting sensor data by reset signals
📜 Chunking paragraphs in text
Seniors think in data transformations, not loops.
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Using the reducer screenshot attached above we can get
[["User login","Fetching data","ERROR DB timeout"],["Retrying connection","ERROR Unauthorized"],["User logged out"]]
Imagine you’re parsing server logs and you want to group log entries between every "ERROR" marker:
const logs = [
"User login",
"Fetching data",
"ERROR DB timeout",
"Retrying connection",
"ERROR Unauthorized",
"User logged out"
];
Ever needed to split data into groups based on a condition?
Most people reach for for loops.
But seniors reach for functional reducers.
Here's a real-world example 👇
Real-world use cases
Where it shows up 👇🧮 Moving averages (finance, sensors)
🧠 Pattern matching ("aba" in "ababa")
🧬 DNA motif detection
🎧 Audio & signal smoothing
🔤 NLP word n-grams (for language models)It’s everywhere once you notice it.
Imagine this array:
[1, 2, 3, 4, 5, 6]
Take 3 items at a time — slide by 1 step:
[1,2,3]
[2,3,4]
[3,4,5]
[4,5,6]
Each frame overlaps the next.
Like a camera sliding over your data 🎥
Functional programming.
Sliding window- A small but mighty technique hiding in your favorite algorithms. It’s how we process data in motion, from text patterns to stock charts.
🔽
Sometimes we need to break a list into smaller pieces — for pagination, batching API calls, or organizing UI cards. In the spirit of Functional Programming the below helper function can do that.
solve([1,2,3,4,5], 2)
// [[1,2],[3,4],[5]]
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Functional way of take/while
You might only want to render list items until a special marker appears like until we reach the footer.
#JavaScript#SoftwareEngineering#Software
You may be building a search feature that expects a flat structure — one record per (post, tag) pair so you can easily group or filter by tag , you combine flatMap and map to solve the issue.
#JavaScript#SoftwareEngineering#softwaredevelopers
Categorize support tickets by urgency ⚡— all in one pass, no nested loops:
const [high, medium, low, unclassified] = solve(tickets, [
t => t.priority==='high',
t => t.priority==='medium',
t => t.priority==='low'
]);
Clean, declarative JS 🧠 #JavaScript#CleanCode