Welcome to the Advent of Code 2022 repository! This project features solutions for the Advent of Code challenges using Java and Kotlin. Each day presents a new puzzle, and our goal is to solve them efficiently while learning and improving our programming skills.
- Introduction
- Getting Started
- Project Structure
- Languages Used
- Challenges Overview
- Contributing
- License
- Acknowledgments
The Advent of Code is an annual event where developers solve programming puzzles. Each puzzle can vary in difficulty and is designed to challenge your problem-solving skills. This repository contains my solutions for the 2022 event, implemented in both Java and Kotlin.
To get started with this project, you can clone the repository to your local machine. Use the following command:
git clone https://github.com/slay-web/advent-of-code-2022.git
After cloning, navigate to the project directory:
cd advent-of-code-2022
You can find the compiled solutions in the Releases section. Visit here to download the necessary files and execute them.
The project is organized into folders for each day of the Advent of Code challenge. Here’s a brief overview of the structure:
advent-of-code-2022/
│
├── day01/
│ ├── Java/
│ │ └── Solution.java
│ └── Kotlin/
│ └── Solution.kt
│
├── day02/
│ ├── Java/
│ │ └── Solution.java
│ └── Kotlin/
│ └── Solution.kt
│
...
Each day folder contains solutions in both Java and Kotlin, allowing you to compare approaches and learn from different programming paradigms.
This repository includes solutions written in:
- Java: A versatile, object-oriented programming language known for its portability and performance.
- Kotlin: A modern programming language that runs on the Java Virtual Machine (JVM). It is concise, expressive, and fully interoperable with Java.
Both languages offer unique features and advantages, making them suitable for solving the challenges presented in Advent of Code.
Each day of the Advent of Code presents a unique challenge. Below is a brief overview of some of the challenges tackled in this repository:
In this challenge, we calculate the total calories carried by each elf. The goal is to find the elf carrying the most calories.
This challenge involves a game of Rock Paper Scissors, where we calculate the score based on the choices made by the player and the opponent.
In this puzzle, we analyze a rucksack's contents and determine the priority of items based on their type.
We tackle the task of cleaning up a campsite by analyzing the areas that need attention.
This challenge involves moving stacks of supplies to optimize the delivery process.
We solve a problem related to signal tuning, focusing on the efficiency of data transmission.
In this challenge, we analyze storage usage and determine how to optimize space on a device.
This puzzle requires us to calculate visibility from the treetops and identify potential building spots.
In this challenge, we simulate the movement of a rope bridge and calculate the necessary adjustments.
We explore the operations of a cathode ray tube and analyze its output based on given inputs.
This challenge involves simulating the behavior of monkeys and their interactions based on specific rules.
We implement an algorithm to find the optimal path for climbing hills.
In this puzzle, we analyze signals to determine their distress levels and prioritize responses.
We tackle the problem of managing a reservoir and ensuring proper flow.
This challenge involves analyzing beacons and determining exclusion zones based on their signals.
We simulate a complex system to manage resources and optimize output.
In this challenge, we model the flow of pyroclastic material and analyze its impact on the environment.
We solve a problem related to the behavior of boulders in a boiling environment.
This challenge involves resource management and optimization in a mining scenario.
We analyze a positioning system to determine optimal placements.
In this puzzle, we solve mathematical problems presented by monkeys.
We navigate a map and solve challenges related to its layout.
This challenge involves simulating teleportation and analyzing its effects.
We tackle a problem related to managing blizzards and ensuring safety.
In this final challenge, we analyze hot air balloon systems and optimize their performance.
Contributions are welcome! If you would like to contribute to this project, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or fix.
- Make your changes and commit them.
- Push your changes to your fork.
- Submit a pull request.
Please ensure that your code adheres to the existing style and includes tests where applicable.
This project is licensed under the MIT License. See the LICENSE file for details.
- Thanks to the creators of Advent of Code for providing a fun and challenging way to improve programming skills.
- Special thanks to the open-source community for their contributions and support.
For more details and updates, feel free to visit the Releases section of this repository.
Happy coding! 🎉