Backend EngineeringBeginner → ExpertNEW

Python & FastAPI

Master Python from scratch to production — environments, OOP, file handling, APIs, Pandas, async, automation, and FastAPI. Every skill used in real pipelines, tooling, and framework development.

4.8rating876 students7h 30m total10 lessons

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What you'll learn

Set up professional Python environments with pyenv, venv, pip, and poetry

Write clean, typed Python functions with decorators, closures, and comprehensions

Build reusable class hierarchies using OOP, ABCs, dataclasses, and Protocols

Handle files, write CLI tools with Typer, and automate workflows with scripts

Consume REST APIs with requests/httpx, handle auth, retries, and pagination

Transform data with Pandas — filter, groupby, merge, clean, and export pipelines

Add production-grade logging with structlog and structured JSON output

Write async Python with asyncio, gather, semaphores, and concurrent HTTP

Build automation scripts with subprocess, plugin registries, and framework patterns

Deliver production REST APIs with FastAPI, JWT auth, SQLAlchemy, and Docker

Final Project

Build a full async data pipeline CLI: fetch from API, clean with Pandas, export to CSV/JSON, with structured logging and a Typer interface

Course Contents

10 lessons · 7h 30m

Environment Setup: venv, pip, and pyproject.toml

30 min

Functions & Type Hints: Write Code That Explains Itself

45 min

Classes & OOP: From Basics to Protocols

50 min

File Handling & Scripting: pathlib, argparse, and Typer

40 min

HTTP & APIs: requests, httpx, and Real-World Patterns

40 min

Pandas for Data Pipelines: CSV to Transformed Output

55 min

Logging & Observability: Structured Logs for Production

35 min

Async & Concurrency: asyncio, await, and Concurrent I/O

45 min

Automation & Tooling: subprocess, Pipelines, and Frameworks

50 min

FastAPI in Production: APIs, Auth, DB, and Docker

50 min

Course Info

Lessons10 lessons

Total time7h 30m

LevelBeginner → Expert

Students876

Rating4.8 / 5.0

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