CodeHarbor Project

Introduction

Welcome to the CodeHarbor repository! This repository contains code and resources related to various tasks and applications developed by our team. Whether you're interested in data analytics, Java development, Python development, or architectural decision records (ADRs), you'll find something useful here.

Project Structure

The repository is organized into the following directories:

📂 sabit-shaiholla/codeharbor/ - central repository of code and analysis
├── 📂 adr/ - store of architectural decision records (ADRs)
├── 📂 data-analytics/ - data analytics tasks and applications
│   ├── 📂 financial-insights-openai-api/ - financial insights and PDF analysis with OpenAI API
│   ├── 📂 fmcg-top-10-recommend/ - top 10 recommendation system for FMCG products
│   ├── 📂 kinopoisk-data/ - data analysis of Kinopoisk data
│   └── 📂 spotify-data/ - data analysis of Spotify data
├── 📂 java-app/ - Java development tasks and applications
├── 📂 epam/ - EPAM tasks and applications      
└── 📂 python-app/ - Python development tasks and applications
    ├── 📂 aws-bootcamp/ - AWS bootcamp tasks and applications
    ├── 📂 camera-keyboard/ - Camera Keyboard application
    └── 📂 movie-search-engine/ - Movie Search Engine application

Usage

To use this repository, simply clone it to your local machine using Git. From there, you can explore the different directories, access code, and contribute as needed.

Contributing

I welcome contributions from the community! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix (git checkout -b feature/your-feature).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature/your-feature).
6. Create a new pull request.

License

This project is licensed under the MIT License.