A collection of Project Euler solutions implemented in multiple programming languages.
This repository is designed to solve Project Euler problems using a consistent project structure across all supported languages, making it easy to compare implementations, algorithms, and language features.
- ☕ Java
- 🔵 C
- 🟦 C++
- 🟣 C#
- 🐍 Python
Project-Euler-Solutions/
│
├── Problem_0/
│ ├── PROBLEM_0.md
│ ├── Makefile
│ ├── Problem_0.c
│ ├── Problem_0.cpp
│ ├── Problem_0.java
│ ├── Problem_0.cs
│ └── Problem_0.py
│
├── Problem_1/
│
├── Problem_2/
│
├── ...
│
└── README.md
Each problem directory is self-contained and contains:
| File | Description |
|---|---|
PROBLEM_0.md |
Problem description, approach, complexity, and notes |
Makefile |
Compiles and runs every supported language |
Problem_0.c |
C solution |
Problem_0.cpp |
C++ solution |
Problem_0.java |
Java solution |
Problem_0.cs |
C# solution |
Problem_0.py |
Python solution |
The objective of this repository is to solve Project Euler problems while comparing implementations across multiple programming languages.
The repository focuses on:
- Algorithms
- Mathematical problem solving
- Programming language comparisons
- Computational thinking
- Code optimization
- Clean and consistent implementations
Each problem follows the same directory structure, making it easy to navigate and maintain.
Navigate to a problem directory.
cd Problem_0Run every implementation.
makemake cmake cppmake javamake csmake pythonmake clean| Language | Tool |
|---|---|
| C | GCC |
| C++ | G++ |
| Java | OpenJDK |
| C# | Mono |
| Python | Python 3 |
| Build System | GNU Make |
Need to set up these tools? See
SETUP.mdfor a full Linux installation guide.
- Solve every Project Euler problem
- Improve algorithmic thinking
- Strengthen mathematical reasoning
- Compare solutions between programming languages
- Learn language-specific programming techniques
- Build a reusable collection of reference implementations
These solutions are provided for educational purposes.
Project Euler encourages participants to attempt each problem independently before reviewing existing solutions.
Axcel Blade
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