Learning Lab

A structured, practice-driven repository documenting my journey toward becoming a Python Backend Engineer.

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About

This repository documents my journey toward becoming a Python Backend Engineer.

The objective is not only to learn Python syntax but also to build production-quality backend applications using modern engineering practices.

Every lesson includes:

• 📖 Notes
• 💻 Practical exercises
• 🧪 Pytest test cases
• 🔍 Code reviews
• 🛠️ Static type checking
• ✅ Best practices

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Repository Structure

learning-lab/
│
├── .github/
│   └── workflows/
│
├── python_fundamentals/
│   ├── exercises/
│   ├── notes/
│   └── tests/
│
├── pyproject.toml
├── uv.lock
└── README.md

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Learning Roadmap

Python Fundamentals

• Functions & Validation
• *args & **kwargs
• Decorators
• Context Managers
• contextlib
• Type Hints
• Dataclasses
• Inventory Mini Project
• Pytest Basics
• TypedDict
• OOP Fundamentals
• Pydantic Basics
• Advanced Pydantic – EmailStr & field_validator

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Upcoming

• Advanced Pydantic – model_validator
• Nested Models
• File Handling
• Logging
• SQLite
• SQL
• SQLAlchemy 2.0
• Alembic
• FastAPI
• Authentication
• Docker
• PostgreSQL
• GitHub Actions
• Testing with Fixtures
• Dependency Injection
• Clean Architecture

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Notes

Day	Topic	Status
01	Functions & Validation	✅
02	*args & **kwargs	✅
03	Decorators	✅
04	Context Managers	✅
05	contextlib	✅
06	Type Hints	✅
07	Dataclasses	✅
08	Inventory Manager	✅
09	Pytest Basics	✅
10	TypedDict	✅
11	OOP Fundamentals	✅
12	Pydantic Basics	✅
13	Advanced Pydantic – EmailStr & field_validator	✅

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Exercises

Current exercises include:

• Pricing Calculator
• Inventory Manager
• Context Managers
• Decorators
• Product Manager (OOP)
• Pydantic Basics
• Email Validation
• Custom Field Validators
• User Validation

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Tooling

Tool	Purpose
Python 3.12+	Programming Language
uv	Package & Environment Management
Ruff	Linter & Formatter
MyPy	Static Type Checking
Pytest	Testing Framework
Pydantic	Runtime Data Validation
pre-commit	Git Hooks

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Quality Gates

Every change must pass the following quality checks before being committed.

uv run ruff check .
uv run ruff format --check .
uv run mypy .
uv run pytest -v
uv run pre-commit run --all-files

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Development

Install dependencies

uv sync

Run all quality checks

uv run pre-commit run --all-files

Run tests

uv run pytest -v

Run MyPy

uv run mypy .

Run Ruff

uv run ruff check .

Check formatting

uv run ruff format --check .

Automatically fix lint issues

uv run ruff check . --fix

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Learning Philosophy

Every lesson follows the same engineering workflow.

Learn
    ↓
Understand
    ↓
Practice
    ↓
Exercise
    ↓
Write Notes
    ↓
Code Review
    ↓
Ruff
    ↓
MyPy
    ↓
Pytest
    ↓
pre-commit
    ↓
Git Commit
    ↓
Push

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Current Focus

Currently learning:

• Advanced Pydantic
• Runtime Validation
• Custom Field Validation

Next milestone:

• model_validator
• Nested Models
• FastAPI Request Validation

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Long-Term Goal

Build production-ready backend applications using:

• FastAPI
• SQLAlchemy 2.0
• PostgreSQL
• Docker
• GitHub Actions
• Clean Architecture
• Dependency Injection
• Automated Testing

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License

This repository is maintained for educational purposes and continuous backend engineering practice.