Python Developer Roadmap

Introduction

This curriculum covers the breadth of Python development, from advanced language features to web frameworks (Django/FastAPI) and data engineering concepts.

🚀 Python Crash Course

Quick refresher on the essentials:

# List Comprehension
squares = [x**2 for x in range(10)]

# Dictionary
user = {"name": "Alice", "role": "Admin"}

# Function with Type Hints
def greet(name: str) -> str:
    return f"Hello, {name}"

# Class
class Dog:
    def __init__(self, name):
        self.name = name

🎯 Expected Outcome

By the end of this guide, you will be able to:

Master Python's advanced features (Decorators, Generators, Metaclasses).
Build high-performance web APIs with FastAPI and Django.
Understand concurrency with AsyncIO.
Implement robust testing with Pytest.
Package and distribute Python applications.

CAPSTONE-PY Final Project

Capstone: Distributed Task Queue System

Objective

Build a distributed task queue system similar to Celery, but from scratch, to demonstrate mastery of concurrency, networking, and system design.

Requirements

Core: Implement a Producer-Consumer architecture using Redis as the broker.
Worker: Create a Python worker process that listens for tasks and executes them.
API: Build a FastAPI service to submit tasks and check status.
Concurrency: Use `asyncio` for the API and `multiprocessing` for the workers.
Monitoring: A simple dashboard to view active, completed, and failed tasks.

Documentation

Include a `README.md` with setup instructions, architecture diagram, and API documentation.

How to use this guide

Module 1: Advanced Python

Time: 10 hours | Complexity: High

Deep dive into the language internals.

Module 2: Web Frameworks

Time: 15 hours | Complexity: Medium

Building APIs with FastAPI and Django.

Module 3: Data Engineering

Time: 12 hours | Complexity: High

Pandas, NumPy, and ETL pipelines.

Module 4: Testing & QA

Time: 8 hours | Complexity: Medium

Pytest, Mocking, and CI integration.

Curriculum Overview

Module 1: Advanced Python - Internals, Decorators, Metaclasses.

Module 2: Web Frameworks - FastAPI, Django, REST APIs.

Module 3: Concurrency - AsyncIO, Multiprocessing, Threading.

Module 4: Testing & QA - Pytest, Mocking, TDD.

Module 5: Data Science - Pandas, NumPy, Jupyter.

Module 6: Machine Learning - Scikit-Learn, Basic Models.

Module 7: System Design - Scalability, Microservices, Caching.

Module 8: Databases - SQL (SQLAlchemy), NoSQL (Redis/Mongo).

Module 9: Packaging - PyPI, Poetry, Docker.

Module 10: Security - OWASP, Cryptography, Auth.