Python (3.6–3.12)

• Procedural, functional, and object-oriented programming
• Concurrency: multithreading, multiprocessing, asyncio
• Data collection, transformation, and visualization (Pandas, NumPy, Matplotlib, Seaborn)
• GUI development with Tkinter (basic desktop apps)
• Testing: doctest (practical use), pytest/unittest (familiarity)
• Clean code practices: type hints, modular design, PEP8 compliance

Tools & Technologies

• Git, GitHub
• Databases: SQLite3, PostgreSQL
• Virtual environments: venv, pyenv, poetry, uv
• Docker (theoretical knowledge, learning practical containerization)
• Linux (daily driver, Mint XFCE)
• IDE: Geany
• English: sufficient for technical documentation and communication

Projects

Selected works are available on GitHub: https://github.com/K-N-A-R-G

Notable projects include:

Server Tester — benchmarking multiple Python socket server implementations with visualization and SQLite logging.

Micro Git — console tool for batch git operations in nested directories, auto-detecting repo state.

One-file Utils — Small applications for the daily needs of the developer.

Etc.

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