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Functional Programming Best Practices in JavaScript

FP is powerful but has best practices. Here is how to write clean, maintainable functional JS.

Functional Programming Best Practices in JavaScript

Functional programming is powerful but has best practices. Here is how to write clean, maintainable functional JavaScript.

1. Prefer Pure Functions

Pure functions (same input, same output, no side effects) are easier to test, debug, and reason about. Keep side effects at the edges of your application.

2. Use Immutability

// good: return new copies const newArr = [...arr, 4]; const newObj = { ...obj, x: 2 }; // bad: mutate arr.push(4); obj.x = 2; `` Use spread, `Object.assign`, or libraries like Immer for complex state. ### 3. Use `map`/`filter`/`reduce` Instead of Loops ```js // good: declarative const result = arr.filter((n) => n > 1).map((n) => n * 2); // avoid: imperative (unless performance is critical) const result = []; for (const n of arr) { if (n > 1) result.push(n * 2); } `` ### 4. Compose Small Functions ```js const isValid = (n) => n > 0; const double = (n) => n * 2; const process = (arr) => arr.filter(isValid).map(double); `` Small, single-purpose functions are easier to test and reuse. ### 5. Avoid Side Effects in Callbacks ```js // bad: side effect in map arr.map((n) => { console.log(n); return n * 2; }); // good: separate concerns arr.forEach((n) => console.log(n)); const doubled = arr.map((n) => n * 2); `` ### 6. Always Pass an Initial Value to `reduce` ```js const sum = arr.reduce((acc, n) => acc + n, 0); `` This avoids bugs with empty arrays and type mismatches. ### 7. Use `const` by Default ```js const x = 5; const double = (n) => n * 2; `` `const` prevents accidental reassignment, which aligns with immutability. ### 8. Use `pipe` or `compose` for Pipelines ```js const pipeline = pipe(filter(isValid), map(double), reduce(sum, 0)); const result = pipeline(arr); `` This is more readable than deep nesting or long chains. ### 9. Keep Functions Small Each function should do one thing. If a function does too much, split it. Small functions are easier to test, name, and compose. ### 10. Use TypeScript for Type Safety TypeScript catches type errors at compile time, which complements FP's focus on predictability. ### The Takeaway FP best practices: prefer pure functions, use immutability (spread, new copies), use `map`/`filter`/`reduce` instead of loops, compose small functions, avoid side effects in callbacks, always pass an initial value to `reduce`, use `const` by default, use `pipe`/`compose` for pipelines, keep functions small, and use TypeScript for type safety.

Prefer pure functions, use immutability (spread, new copies), use map/filter/reduce instead of loops, compose small functions, avoid side effects in callbacks, always pass an initial value to reduce, use const by default, and use pipe/compose for pipelines.

Pure functions (same input, same output, no side effects) are easier to test, debug, and reason about. They do not depend on or modify external state, which makes them predictable and safe to use in any order.

Use spread to create new arrays/objects: [...arr, 4] instead of arr.push(4); { ...obj, x: 2 } instead of obj.x = 2. For complex state, use libraries like Immer (with produce) or Immutable.js.

For readability and immutability, yes. But for very large arrays or performance-critical code, a single loop may be faster than chaining multiple methods (each creates a new array). Optimize only if profiling shows a problem.

To avoid bugs with empty arrays (TypeError: Reduce of empty array with no initial value) and type mismatches (when the accumulator type differs from the element type, like building an object from an array of objects).

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