Code flows like verse.
let analysisResult = rawData
|> normalize(standard: "UTF-8")
|> filter(condition: x => x.isValid())
|> groupBy(criteria: x => x.category)
|> aggregate(method: average)
|> visualize(chart: "bar")Identifiers in any tongue — 한글, Кириллица, emoji.
|> lets each step read like a stanza.
Safe without ceremony.
Predictable, deterministic, zero-cost.
let analysisResult = rawData
|> normalize(standard: "UTF-8")
|> filter(condition: x => x.isValid())
|> groupBy(criteria: x => x.category)
|> aggregate(method: average)
|> visualize(chart: "bar")let discountRate = match customer {
case { tier: "VIP", purchaseAmount } if purchaseAmount > 1000000 => 0.3
case { tier: "VIP" } => 0.2
case { joinDate } if today - joinDate > 365.days => 0.1
case { firstPurchase: true } => 0.15
case _ => 0.0
}let salesAnalysis = file.read("2024_sales.csv")
|> CSV.parse(hasHeader: true)
|> filter(row => row.revenue > 1000000)
|> groupBy(row => row.region)
|> sortBy(descending: row => row.totalRevenue)function fibonacci(n: int) -> int {
match n {
case 0 => 0
case 1 => 1
case _ => fibonacci(n - 1) + fibonacci(n - 2)
}
}
let series = 0..<10 |> map(_, fibonacci)
print(series)function 인사하기(이름: string) -> string {
"안녕하세요, {이름}님!"
}
print(인사하기("토파즈"))function greet(name: string) -> string {
"Hello, {name}!"
}
print(greet("Topaz"))function привет(имя: string) -> string {
"Привет, {имя}!"
}
print(привет("Топаз"))