Functional programming has gained popularity due to its ability to provide efficient and scalable solutions. It's a declarative approach to programming, where the focus is on specifying what the program should accomplish, rather than how it should accomplish it.
In this post, we'll look into the core concepts and advantages of functional programming, as well as explore some of the most popular functional programming languages.
What is Functional Programming?
Functional programming is a declarative programming paradigm that focuses on applying pure functions in sequence to solve complex problems. It treats functions as first-class citizens, allowing them to be passed as arguments to other functions, returned as values from functions, and stored in data structures.
👉Functional programming excels at mathematical functions where values don't have any correlation and doesn't make use of concepts like shared state and mutable data used in object-oriented programming.
Core Concepts of Functional Programming
1️⃣ First-class functions:
Functions are treated as data type variables and can be used like any other variables.
Example 1: In JavaScript, we can pass a function as an argument to another function, just like we would pass a variable.
function add(x, y) {
return x + y;
}
function multiply(x, y) {
return x * y;
}
function calculator(operation, x, y) {
return operation(x, y);
}
console.log(calculator(add, 2, 3)); // Output: 5
console.log(calculator(multiply, 2, 3)); // Output: 6
In this example, the calculator
function takes another function (add or multiply) as an argument, and uses it to perform the calculation.
Example 2: In Haskell, functions are treated as first-class citizens, allowing them to be passed as arguments to other functions, returned as values from functions, and stored in data structures.
2️⃣ Recursion:
Functional programs avoid constructions that create different outputs on every execution. Instead, recursive functions call themselves repeatedly until they reach the desired state or solution known as the base case.
Example: In Python, we can use recursion to calculate the factorial of a number.
def factorial(n):
if n == 0:
return 1
else:
return n * factorial(n-1)
print(factorial(5)) // Output: 120
In this example, the factorial
function calls itself repeatedly until it reaches the base case (n == 0)
, at which point it returns the final result.
3️⃣ Immutability:
Variables cannot be modified after being created. This ensures that the program's state remains constant throughout its runtime.
Example: In Haskell, we can create an immutable list and then use a function to create a new list with the elements transformed.
myList = [1, 2, 3, 4, 5]
doubleList = map (*2) myList
print doubleList // Output: [2, 4, 6, 8, 10]
In this example, the myList
variable is immutable, and we create a new list doubleList
by applying the map
function to myList. The original list remains unchanged.
For more resources on Haskell: https://www.haskell.org/documentation/
4️⃣ Pure functions:
Pure functions produce the same output if the given input is the same and have no side effects.
Example: In JavaScript, we can create a pure function that takes a string as input and returns the string with all vowels removed.
function removeVowels(str) {
return str.replace(/[aeiou]/gi, '');
}
console.log(removeVowels("Hello World")); // Output: "Hll Wrld"
console.log(removeVowels("Hello World")); // Output: "Hll Wrld"
In this example, the removeVowels
function takes a string as input and returns a new string with all vowels removed. The function has no side effects and always returns the same output given the same input.
5️⃣ High-order functions:
Functions that accept other functions as parameters or return functions as outputs.
Example: In Python, we can create a high-order function that takes another function as an argument and applies it to a list of numbers.
def applyFunction(func, numbers):
return [func(x) for x in numbers]
def double(x):
return x * 2
def square(x):
return x * x
numbers = [1, 2, 3, 4, 5]
print(applyFunction(double, numbers)) // Output: [2, 4, 6, 8, 10]
print(applyFunction(square, numbers)) // Output: [1, 4, 9, 16, 25]
In this example, the applyFunction
function takes another function (double or square) as an argument, and applies it to a list of numbers. The function returns a new list with the results of applying the function to each number.
Example 2: Haskell's high-order functions accept other functions as parameters or return functions as outputs.
Advantages of Functional Programming
- Easy to debug: Pure functions produce the same output as the given input, making it easier to check for errors in code.
- Lazy evaluation: Computations are only evaluated when needed, reducing unnecessary computations.
- Supports parallel programming: Immutable variables make it easy to create parallel programs, reducing the amount of change within the program.
- Easy to read: Functions are easy to read and understand, making it easier to understand the codebase and purpose.
- Efficient: Functional programs don't rely on external sources or variables, making them easily reusable across the program.
Drawbacks of Functional Programming
- Terminology problems: Functional programming has a lot of terminologies that may be difficult to explain to a layman.
- Recursion: Although recursion is a powerful feature, it can be expensive to use, requiring higher memory usage.
Popular Functional Programming Languages
- Haskell: A statically typed programming language designed specifically for functional programming.
- Python: Although designed for object-oriented programming, Python supports functional programming features like lambda expressions and attributes.
- Erlang: A functional programming language best suited for concurrent systems, used by messaging apps like WhatsApp and Discord.
- JavaScript: Supports functional programming features like lambda expressions and attributes, making it a popular choice among multi-paradigm languages.
- Clojure: A functional programming language that provides tools to avoid mutable states, supporting both mutable and immutable data types.
- Scala: A language that supports both functional and object-oriented programming, designed to address the shortcomings of Java.
- Rust: A systems programming language that supports functional programming concepts like immutability and recursion.
- Swift: A modern programming language developed by Apple, which supports functional programming features like closures and higher-order functions.
- F#: A functional programming language developed by Microsoft, which is part of the .NET ecosystem.
- Lisp: A family of programming languages that are based on functional programming concepts, including Scheme and Common Lisp.
- OCaml: A functional programming language developed by INRIA, which is used in a variety of applications, including web development and scientific computing.
- R: A programming language and environment for statistical computing and graphics, which supports functional programming concepts like closures and higher-order functions.
- Julia: A high-performance programming language that supports functional programming concepts like immutability and recursion.
- Kotlin: A modern programming language developed by JetBrains, which supports functional programming features like lambda expressions and higher-order functions.
- TypeScript: A statically typed programming language developed by Microsoft, which supports functional programming features like lambda expressions and higher-order functions.
NOTE:There are still many other programming languages that support functional programming concepts.
Conclusion
Functional programming is a powerful paradigm that provides efficient and scalable solutions to complex business problems. By understanding the core concepts and advantages of functional programming, developers can unlock new ways to solve problems and increase their chances of standing out in the global talent pool. Whether you're a seasoned programmer or just starting out, functional programming is definitely worth exploring.
Summary of Key Points
- Functional programming is a declarative programming paradigm that focuses on applying pure functions in sequence to solve complex problems.
- Core concepts of functional programming include first-class functions, recursion, immutability, pure functions, and high-order functions.
- Advantages of functional programming include easy debugging, lazy evaluation, support for parallel programming, easy readability, and efficiency.
- Drawbacks of functional programming include terminology problems and recursion.
- Popular functional programming languages include Haskell, OCaml, Elixir, Python, Erlang, JavaScript, Clojure, and Scala.
Any corrections or additions to this post are welcome.
Thanks for reading
Happy Coding😎
Top comments (42)
I love the idea of FP, but it just refuses to become mainstream - it stubbornly remains in the "niche" corner (apart from the odd snippets of filter/map/reduce code gaining popularity in JS) ...
To be honest I think there's a class of "difficult" problems where FP is great - it's just that the great majority of the code that we write in e.g. web development is too simple and too trivial to benefit from FP's power - i.e. in most cases we just don't need it ...
P.S. point 3 "Easy to read" - anyone who ever tried to read "deep" Haskell code might disagree ;-) ... FP can be super powerful, especially for complex problems, but I would hesitate to list "easy to read" as one of its advantages :)
P.S. you forgot to mention one of the most popular FP languages, which at some point was hailed as "the new Ruby" - Elixir !
I do think it's coming into the mainstream. I'm not sure Haskell per se has gotten bigger, but certainly languages like Java and C# are adopting a lot of functional thought whereas they had been entirely object oriented. People don't think of Rust as functional, but it has definitely adopted a lot of important ideas from functional programming like like using variants (enums) and restricting mutability. I think FP is generally winning but it's winning by taking over non-FP languages rather than widespread adoption of e. g. Elm and OCaml.
I think it's not FP is winning, but life finally prove that there is no "OO vs FP" but "OO+FP". All mainstream languages are migrating towards hybrid model (with notable exception of Go, which is stuck in OO+procedural programming era).
Right! Yes that's what you can clearly see happening ...
You're right that it's more about FP features creeping into non-FP languages, than pure FP languages gaining a lot of ground ...
I've studied Rust a bit, and actually it felt very much "FP" to me - more "FP" than "OO" ... it's not a pure FP language, but man does it almost feel like one ... the popularity of Rust could be the strongest case of "FP" gaining ground.
Perhaps this is because most older languages came from OO camp. Rust had no such legacy and just stripped out some unnecessary OO parts. Otherwise it's typical hybrid FP+OO language.
Rust doesn't even have "proper" inheritance - I think you can do inheritance if you REALLY want to, but they've made it very hard ... but yes, "hybrid FP+OO" you could say that - for me it felt very much FP, with OO being something like an afterthought!
"Proper" inheritance is barely necessary. Thrait inheritance is more than enough. I'm writing Java code in the same style - inherit interfaces but classes are final.
And no, OO in Rust is not an afterthought. Dyn traits is a pure OO thing.
Yeah traits are OO, so you're right that Rust is still a mix of FP and OO ... but the fact that they skipped "classical" inheritance is telling :)
Well, traits are type classes, which is FP feature, but they also very similar to OO interfaces. Support for inheritance is purely a OO thing. In other words, FP and OO have many things in common for long time and there is just no sensible reason to strictly separate them. Especially from pragmatic reasons.
Dear @leob
Thank you for the thoughtful feedback on my post about functional programming. I really appreciate your perspective and insights.
You raise some excellent points about the challenges of functional programming becoming mainstream. I agree that it tends to remain in a more niche corner. The power of functional programming really shines when tackling more complex and mathematically oriented problems, as you mentioned.
I also appreciate you calling out my claim about "easy to read" as a potential advantage. You're absolutely right that highly abstract and complex functional code, especially in languages like Haskell, can be quite challenging to parse for many developers. I should have been more nuanced in my assessment there. I have installed Haskell last week and tried some tasks on my own.
And thank you for the suggestion to include Elixir as one of the popular functional programming languages.
Elixir is a dynamic, functional language for building scalable and maintainable applications.
It's an excellent example of a language that has gained significant traction, especially in the realm of concurrent and distributed systems. I'll make sure to add it to the list in a future revision of the article.
Overall, I'm grateful for your technical feedback and willingness to engage critically with the content. It will really help me improve my understanding and articulation of the strengths, limitations, and nuances of functional programming.
Comments like yours are invaluable for helping me produce more well-rounded and accurate writing.
Thank you!
I think two main issues which prevent wide adoption of FP are terminology and focus on purity. In real life hybrid of OO and FP slowly spreads into mainstream.
True. I've seen Matlab code where tons of variables are passed into a function and then returned back. While that might be "pure" FP, it's the opposite of everything this article tries to sell you, like being easy, maintainable, scalabe, readable, efficient, and what not ...
Right ... but if FP isn't pure then it ain't FP ! :P
Perhaps. But I don't care because I prefer pragmatic approach. For purists I don't call this FP but ""functional style" :)
I think it should remain niche. Because once they try to become mainstream slowly they lose their usefulness for the context they serve.
It should be upto the software engineer and architect to make choices on which programming languages go where instead of seeking a one stop shop solution.
Now I come to think about it - one of the best examples where "FP" has gained ground is the way React components are programmed nowadays, as "functional" components - no OO in sight, purely functional - the name
useEffect
(where you typically code your "side effects") is a dead giveaway!FP is really great, and I think all developers should study it to some extent. However, the benefits of FP are discussable and may vary depending on the context.
Easy to debug — It depends on the language and IDE, but generally, FP code is more complicated to debug, especially when written in a point-free style. It’s better to consider testing. Writing unit tests for pure functions is truly a pleasure. 😊
Lazy evaluation — This is not specific to FP. For instance, the Command Pattern can be used to support lazy computations.
Supports parallel programming — Immutability and function purity were designed specifically to make parallel programming possible. However, this is not unique to FP.
Easy to read — Not necessarily. Even Haskell uses do-notation to avoid chaining "bind" calls and make the code more readable. Do-notation is syntactic sugar that mimics an imperative style.
Efficient — It depends... 😊 Immutability isn’t free. Brute forcing it requires more memory and CPU to copy objects and lists. To do it efficiently adds additional complexity, which is also less effective than mutation.
This is amazing that one оf the more popular languages is omitted here, which very well supports all these aspects of functional programming, and supports strict typing by the way - so is much better than JS, the good old PHP.
Dear @danp
I wanted to reach out and apologize for not including PHP in my original list of functional programming languages. I know PHP is a popular language that supports many functional programming concepts, and I appreciate you bringing it to my attention.
PHP is a multi-paradigm language that supports functional programming concepts. ✅
While it's not a purely functional language, PHP provides several features that allow developers to write functional code.
PHP supports lambda functions, which are small, anonymous functions that can be defined inline.
Here's an example:
PHP supports closures, which are functions that have access to their own scope and can be used as higher-order functions.
As explained before, there are still many other programming languages that support functional programming concepts.
We cannot mention every one of those languages. These languages listed here are quite popular one. There is no targeted attack or discrimination on any languages done here.
These are just a POV.
You can write your own post mentioning PHP on first place. No offence. ❌
Thank you for mentioning PHP.
PHP is the most widely used server-side programming language on the web. In fact, PHP is used in 79.2% of all websites, making it one of the most popular languages among programmers and web developers.
Excellent article! First of all, thank you for sharing your knowledge. For people like me who want to start learning FP, these publications are invaluable. However, I am a newbie in this field and I wonder, where are the if, switch, for or while statements? Because what I understand so far is that under this paradigm I should try to use functions. So, should I create recursive functions, for example, instead of using an if, switch, for or while statement? Or in what moments or context should I use if, switch, for or while statements? :)
Dear @entre0sy1s
Thank you so much for your kind words about the article! I'm thrilled to hear that it's been helpful to you as you start learning about functional programming. Your question is a great one, and I'm happy to help clarify things for you. 🙂
I'll make sure to write a follow-up response to address your question about using if, switch, for, and while statements in functional programming.
Thanks for your feedback!
Recursion is not expensive to use if the language supports tail recursion optimization. The compiler then effectively transforms recursion into a plain iteration. Haskell supports this, as do other FP-centric languages (check out the Wikipedia entry).
Terminology is an entry barrier, but once you get a grip of it, it tends to be used consistently across different languages. With a few exceptions, of course :P
On the other hand, I would disagree with most of the mentioned "pros" :P
What I'd add as a pro:
Using declarative style, sum types & higher-order functions forces you to think about the problems you're solving in a different way, adding to your programming toolbox. For that reason I recommend trying an FP language to anyone (Haskell, Scala or F# in particular) for some toy exercises (I recommend Exercism, but there are numerous platforms) :D
Dear @tr00per
Thanks for the thoughtful response. I appreciate your insights on functional programming.
I completely agree with all your points, and I think your enthusiasm for Haskell is infectious. As a fan of functional programming, it's great to see someone who is so passionate about the subject. Your insights on the benefits of FP, from parallelization to declarative style, are spot on. Thanks for sharing your thoughts and for helping to spread the love for Haskell and FP in general!
Overall, I think your response was well-reasoned and thought-provoking. It's great to see different perspectives on programming paradigms. I think it's always beneficial to learn from others and expand our programming skills.
Thanks again for your response.
I also like FP, most of the time it is help a lot with my work. But in real life legacy code where someone intensive use ramda - js FP library - that cause code much harder to read. So many cases this solution is give extra abstraction to your code.
I also big fan of pipeline operator, but saddly cant implement into JS ( proposal one can be used but it need to use babel for that )
Dear @pengeszikra
I completely agree with you that while functional programming can be incredibly powerful and helpful, it can also be misused or overused, leading to code that's harder to read and understand.
Ramda is a great library, but like any tool, it can be used in ways that make the code more abstract and less readable.
I also share your enthusiasm for the pipeline operator, and I'm looking forward to seeing it become a standard feature in JavaScript. The proposal is promising, but having to use Babel to implement it can be a barrier for some projects.
Hopefully, it will become a standard feature in JavaScript soon, making it easier to write more readable and composable code. Thanks for sharing your thoughts and experiences with FP in real-world projects!
Such a well-crafted post! You’ve covered all the key points and presented them in an interesting and accessible way. It’s clear that you put a lot of thought into this, and I’m grateful for the valuable knowledge you’ve shared.
@rohitkhokhar
Thank you so much for your kind words!
I'm thrilled to hear that you found the post informative and engaging. I'm glad that I could help share my knowledge with you in a way that was easy to understand. Your feedback is greatly appreciated, and it motivates me to continue creating high-quality content.
Thank you again for taking the time to read and respond!
Thank you awesome read.
Thank you very much!
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