Introduction

Project Euler provides a collection of challenging mathematical and computational problems, ideal for honing your programming skills. It's not only a popular platform for personal development but also serves as a fascinating ground for comparing how different programming languages handle computational tasks. This article delves into a speed comparison of four programming languages: C, Python, Erlang, and Haskell, using Project Euler problems as a benchmark.

Language Characteristics

C

C is a procedural programming language that offers low-level memory manipulation capabilities. Known for its efficiency and speed, C is often chosen for tasks that require high performance and minimal overhead.

Python

Python is an interpreted, high-level, and general-purpose programming language. It supports dynamic typing and boasts a rich standard library, making it an ideal choice for rapid development. However, Python's dynamic nature might come at the cost of execution speed.

Erlang

Originally developed for telecommunication systems, Erlang is a concurrent functional language that excels in concurrent and distributed systems. Despite its strengths in these areas, Erlang might not always produce the fastest results for computational problems.

Haskell

Haskell is a purely functional programming language that emphasizes immutability and type safety. While requiring a different programming paradigm, Haskell is known for its ability to succinctly express complex algorithms.

Problem Selection

For a fair comparison, consider a problem from Project Euler that involves prime number calculations, as it tends to test both computational efficiency and mathematical capabilities.

Problem Example: Summation of Primes

Given a number, find the sum of all prime numbers below it.

Implementations

C Implementation

• C: Offers the lowest memory usage because memory allocation is managed manually. It excels in both speed and efficiency.
• Python: Known for higher memory usage due to interpreters and dynamic typing, Python is slower but allows for rapid development.
• Erlang: Uses more memory to handle its intrinsic parallel and concurrent capabilities. Although faster than Python due to native strengths in handling processes, it remains slower than C.
• Haskell: Offers a balance between functional programming's elegance and execution speed. Haskell compiles to efficient bytecode, making it relatively fast.