Your roadmap to real skills.

Python Environment Setup

Set up a professional Python environment with pyenv, venv, and pyproject.toml.

Python Fundamentals (Modern Python 3.12+)

Use modern Python syntax: type hints, f-strings, match statements, walrus, keyword-only args.

Object-Oriented Python

Write Python classes with dunder methods, properties, and dataclasses.

Pythonic Code

Use list comprehensions, generators, context managers, decorators, type hints idiomatically.

Error Handling and Logging

Use exceptions, custom exceptions, and the logging module instead of print.

File I/O and Working with Data

Read/write files, CSV, JSON; use pathlib.

Python Standard Library Deep Dive

Reach for the standard library before adding dependencies.

Testing in Python with pytest

Write unit tests + fixtures + mocks with pytest; measure coverage.

Python for Scripting and Automation

Write CLI tools with Click; call APIs with httpx; automate real tasks.

Python for Data (pandas + NumPy)

Use pandas + NumPy fundamentals — enough to be dangerous and know when to switch to a data-science track.

Async Python (asyncio)

Use asyncio and async/await; know when async beats threads vs multiprocessing.

Packaging and Distribution

Structure a Python project + publish to PyPI.

Regular Expressions

Read and write regex (classes, quantifiers, anchors, groups, lookarounds) for validation, parsing, and log analysis, and avoid catastrophic backtracking (ReDoS).

Python for Backend: FastAPI

Build a typed async API with FastAPI + Pydantic, talk to Postgres via SQLAlchemy, migrate with Alembic, run in Docker.

Passion Project: Python CLI Tool

Build, package, and publish a useful Python CLI tool to PyPI + GitHub.

Python Job Readiness

Translate Python skills into resume bullets + interview answers for backend / data / scripting roles.