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M Mainul Hasan
M Mainul Hasan

Posted on • Originally published at webdevstory.com

5 Lesser-Known Programming Languages That Are Easy to Learn and Highly Effective

Python, Java, and C++ often take the spotlight, and people are mostly obsessed with these languages. Exploring new things might open new perspectives, making our lives easier and more convenient for our work; programming languages are no exception. Today, I’ll talk about several lesser-known programming languages that offer unique advantages, simplicity, and effectiveness.

These languages might not be as popular, but they can significantly enhance your programming skills and broaden your problem-solving toolkit. Here are five such programming languages that are easy to learn and highly effective.

1 — Lua: The Lightweight Scripting Language

Lua is a lightweight, high-level scripting language designed for embedded use in applications. It’s widely known for its simplicity and performance.

Key Features

  • Lua’s syntax is straightforward and minimalistic, making it accessible for beginners.

  • It’s fast and efficient, ideal for embedded systems and game development.

  • Lua can be embedded in applications written in other languages like C and C++.

Use Cases

  • Game engines such as Unity and Roblox heavily use Lua.

  • Because of its small footprint, Lua is perfect for embedded systems and IoT devices.

Resources

Sum of an Array

function sum(array)
 local total = 0
 for i = 1, #array do
  total = total + array[i]
 end
 return total
end

print(sum({1, 2, 3, 4, 5}))  -- Output: 15
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2 — Haskell: The Purely Functional Language

Haskell is a purely functional programming language with strong static typing. It’s known for its expressive syntax and powerful abstractions.

Key Features

  • Haskell encourages a different way of thinking about programming, focusing on functions and immutability.

  • The strong type system helps catch errors at compile time, leading to more reliable code.

  • Haskell allows for concise and readable code, reducing bugs and improving maintainability.

Use Cases

  • Haskell is popular in academia for exploring new programming concepts.

  • Its strong type system and functional nature make it suitable for complex data transformations.

Resources

Fibonacci Sequence

  fibonacci :: Int -> Int
  fibonacci 0 = 0
  fibonacci 1 = 1
  fibonacci n = fibonacci (n - 1) + fibonacci (n - 2)

  main = print (fibonacci 10)  -- Output: 55
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3 — Erlang: The Concurrency King

Erlang is a language designed for building scalable and fault-tolerant systems. It excels in concurrent programming and is used in telecommunication systems.

Key Features

  • Erlang’s lightweight process model makes building systems that handle thousands of simultaneous processes easy.

  • Built-in mechanisms for error detection and process isolation ensure systems can recover from failures.

  • Allows for code updates without stopping the system, which is crucial for high-availability systems.

Use Cases

  • Used by companies like Ericsson for building robust telecommunication infrastructure.

  • The backbone of messaging platforms like WhatsApp.

Resources

Check Prime Number

  -module(prime).
  -export([is_prime/1]).

  is_prime(2) -> true;
  is_prime(N) when N > 2 -> is_prime(N, 2).

  is_prime(N, D) when D * D > N -> true;
  is_prime(N, D) when N rem D == 0 -> false;
  is_prime(N, D) -> is_prime(N, D + 1).

  % To run: prime:is_prime(7).  -- Output: true
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4 — Julia: The High-Performance Numerical Computing Language

Julia has been designed for high-performance numerical and scientific computing. It combines the ease of use of Python with the speed of C.

Key Features

  • Julia’s compilation, rather than interpretation, gives it a performance edge.

  • Its syntax is simple and intuitive, similar to Python.

  • Designed with numerical and scientific computation in mind, Julia excels in tasks that require high precision.

Use Cases

  • Julia is becoming increasingly popular in data science for its speed and efficiency.

  • Ideal for complex simulations and numerical analysis.

Resources

Sorting an Array

function bubble_sort(arr::Vector{Int})
     n = length(arr)
     for i in 1:n-1
         for j in 1:n-i
             if arr[j] > arr[j + 1]
                 arr[j], arr[j + 1] = arr[j + 1], arr[j]
             end
         end
     end
     return arr
 end

 println(bubble_sort([5, 2, 9, 1, 5, 6]))  -- Output: [1, 2, 5, 5, 6, 9]
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5 — Racket: The Programmable Programming Language

Racket is a descendant of Scheme and is a general-purpose, multi-paradigm programming language. It’s particularly noted for its emphasis on language creation and experimentation.

Key Features

  • Racket makes it easy to create domain-specific languages.

  • It comes with extensive libraries for various tasks.

  • Often used in educational settings to teach programming concepts.

Use Cases

  • Used for creating new programming languages and experimenting with language design.

  • Popular in computer science courses for teaching fundamental programming principles.

Resources

Find Maximum in a List

 #lang racket

  (define (max-in-list lst)
    (if (null? (cdr lst))
        (car lst)
        (let ([max-rest (max-in-list (cdr lst))])
          (if (> (car lst) max-rest)
              (car lst)
              max-rest))))

  (display (max-in-list '(3 5 2 9 4)))  -- Output: 9
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Conclusion

I hope exploring these lesser-known programming languages can open up new avenues for your development skills and problem-solving approaches. 

Let’s experiment; maybe any of these can become your next favorite programming language.

Happy Coding!

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