Advanced Topic 50 of 54 Programming Fundamentals
Currying and Partial Application
Transforming multi-argument functions into chains of single-argument ones.
How it works
Currying turns a function f(a, b, c) into a chain f(a)(b)(c) where each call takes one argument and returns another function. Partial application fixes some arguments up front to create a more specific function from a general one. Both rely on closures to remember the supplied values until the remaining arguments arrive.
Step-by-step walkthrough
- A normal function takes both arguments at once.
- Currying turns it into add(a) returning a function that takes b.
- Giving only the first argument fixes it: add5.
- add5 is a new function waiting for the rest.
- Calling it with 3 gives 8.
Where it is used
Creating adders like add(5), configuring handlers with preset options, building reusable validation rules and composing pipelines where each step expects a single input all use these techniques. They are standard in Haskell and common in JavaScript libraries.
Common pitfall
Overuse reduces readability for developers unfamiliar with the style, and can hurt performance when many small closures are created. Argument order matters: place the data last so that functions partially applied with configuration compose well. Do not confuse currying with partial application.
Where it fits in the course
Currying and Partial Application is topic 50 of 54 in Programming Fundamentals, rated Advanced. It follows Immutability in Practice. The next topic is Monads.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Programming Fundamentals quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Programming Fundamentals quiz, and revisit the topic if you miss a question.
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Related topics
- Immutability in Practice (Programming Fundamentals)
- Monads (Programming Fundamentals)
- Pure Functions (Programming Fundamentals)
- Memoization (Programming Fundamentals)
- Partial Derivatives and Gradients (Math for Computing)