My name is Valery Bodunov, I am a school student actively studying software development.
My main programming language is Python. I'm currently focused on building a strong foundation in programming through theory, problem solving, and personal projects.
I don't consider myself a professional developer yet. Right now, I'm learning, experimenting, building things, and gradually improving my skills.
My long-term goal is to become a strong software developer.
My current path looks roughly like this:
Python → Algorithms → Projects → Backend → Web Development → AI/ML
I'm especially interested in:
- Software development
- Python
- Algorithms and data structures
- Backend development
- Web development
- Automation
- Developer tools
- Databases
- AI/ML
- Telegram bots
- Building useful software
I prefer learning technologies when I have a real problem or project that requires them, rather than trying to learn everything at once.
My approach is simple:
Learn → Practice → Build → Test → Improve → Publish
I learn best when I can turn theory into something real.
Instead of only following tutorials, I try to build my own projects, make mistakes, understand why they happen, and improve the code afterwards.
I'm also gradually learning the engineering side of software development:
- Writing maintainable Python code
- Project structure
- Type hints
- Testing with
pytest - Git and GitHub
- Python packaging
pyproject.toml- Documentation
- Working with files and directories
- Algorithms and problem solving
- Python
- Git
- GitHub
- pytest
- Algorithms & Data Structures
- SQL
- Databases
- FastAPI
- Backend development
- HTML & CSS
- JavaScript
- Web development
- AI / ML
I'm intentionally learning these step by step rather than all at once.
I enjoy building small and medium-sized projects that help me learn something new.
A modular Python library for working with files and directories.
It includes tools for:
- File analysis
- Hashing and integrity checks
- Duplicate detection
- Text search
- File organization
- Batch renaming
- Encoding conversion
- Reports
- Metadata
This was an important learning project for me because it taught me how to structure a real Python package, write tests, use pyproject.toml, work with Git, and document a project properly.
An experimental custom text codec built from scratch in Python.
I created it to explore:
- Python's
codecssystem - Bytes and
bytearray - Character mapping
- Encoding and decoding
- How custom codecs can integrate with Python
It's primarily an educational and experimental project rather than an attempt to create a production standard.
I'm continuing to strengthen my Python fundamentals while practicing algorithms and solving programming problems.
I also use platforms such as LeetCode for algorithmic practice and TryHackMe to explore computer systems and cybersecurity as an additional interest.
I'm currently a school student preparing for the next stage of my education.
My current university goal is TUSUR, where I'm interested in studying software development and intelligent technologies.
I'm planning to take:
- Russian
- Advanced Mathematics
- Computer Science
For now, my priority is building a strong foundation in programming, mathematics, algorithms, and computer science.
I don't want this profile to be just a collection of repositories.
I want it to show my development over time.
Hopefully, someone looking through my repositories in a few years will be able to see something like:
Python fundamentals
↓
Small projects
↓
Libraries & testing
↓
Algorithms
↓
CLI & automation
↓
Databases
↓
Backend
↓
Web development
↓
AI / ML
↓
More complex software
The number of repositories isn't the main goal.
I'd rather have fewer meaningful projects that show what I learned and how my skills are improving.
Learning by building.
Python today, software development for the future.