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Achievement: YOLOAchievement: Pull Shark

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Kinetics20/README.md

πŸ‘¨β€πŸ’» Hi there!

I'm a mid-level Python developer who is passionate about programming in Python and continually improving my skills. I enjoy tackling challenges and building solutions using this versatile language.

🧰 Technologies & Tools

Programming Languages & Libraries

Python

Aiohttp bcrypt cryptography Faker FastAPI Flask Flit IPython JupyterLab Matplotlib Mypy nh3 Notebook OpenPyXL passlib Pandas Poetry PyArrow pydantic PyMongo PyMySQL python-dotenv Python-magic Pytest Pytest-cov Pytest-sugar Pytest-xdist Requests Rich Ruff Scipy Seaborn SQLAlchemy Tabulate TinyDB Tox Typer UV Uvicorn XlsxWriter

πŸ–₯️ Operating Systems

Windows 10/11 Ubuntu LTS Kali Linux VMware Workstation Docker Portainer

πŸ› οΈ Software & IDEs

PyCharm Visual Studio Code DataGrip MySQL Workbench MongoDB Compass Postman

πŸ“„ Documentation Tools

Obsidian

🌐 Connect with me

LinkedIn

Codewars

Thanks for visiting my profile! 😊

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  1. Air_reservation_system Air_reservation_system Public

    Air Reservation System for managing airline tickets with models like Airbus A380 and Boeing 737 Max. Features include seat allocation and ticket printing.

    Python

  2. MongoDB_lab MongoDB_lab Public

    A collection of practical exercises and sample applications using MongoDB with Node.js and Python, including data import, queries, and a minimal web interface.

    JavaScript

  3. estore_api estore_api Public

    E-commerce API backend built with FastAPI & PostgreSQL – for training purposes.

    Python

  4. Data_Science_Statistics Data_Science_Statistics Public

    A collection of Jupyter Notebook exercises covering key statistical concepts for Data Science, featuring interactive visualizations and real-world datasets.

    Jupyter Notebook

  5. Python_practice_sessions_05 Python_practice_sessions_05 Public

    This is my Python practice sessions, using functional and OOP paradigms with mypy and pytest.

    Jupyter Notebook

  6. Sql_notes Sql_notes Public

    SQL practice environment based on the Sakila sample database (MySQL) for learning and experimenting with SQL queries; containerized with Docker Compose for seamless setup.

    Jupyter Notebook