Python Roadmap - Advanced

Follow this step-by-step roadmap to master python at Advanced level

1

Advanced OOP

3 weeks

▹Class vs Static Methods (deep dive)
▹Decorators & Function Wrapping
▹Property Decorators (Getters, Setters, Deleters)
▹Iterators (iter, next, custom classes)
▹Generators & yield
▹Context Managers (with __enter__, __exit__)
▹Metaclasses (type, customizing class creation)

2

Functional Programming

2 weeks

▹Map, Filter, Reduce
▹Closures & Nested Functions
▹Higher-Order Functions
▹Functools Module (lru_cache, partial)
▹itertools Module (cycle, permutations, combinations)

3

Concurrency & Parallelism

3 weeks

▹Multithreading (threading module)
▹Multiprocessing (process pools)
▹AsyncIO (async, await, event loops)
▹Concurrent Futures
▹ThreadPoolExecutor & ProcessPoolExecutor
▹When to Use Threads vs Processes

4

Database & Persistence

2 weeks

▹SQLite with Python (sqlite3 module)
▹MySQL/PostgreSQL Connector
▹ORM with SQLAlchemy
▹NoSQL with MongoDB (pymongo)
▹Basic CRUD Operations
▹Mini-Project: To-do App with Database

5

Web Development

4 weeks

▹Flask Basics (setup, routes, templates)
▹Flask Forms & Jinja Templates
▹Django Framework Basics (MVT structure)
▹Django Models & ORM
▹Django Authentication System
▹FastAPI Basics (async APIs)
▹Building REST APIs with Flask & FastAPI

6

Testing & Deployment

3 weeks

▹Unit Testing with unittest
▹PyTest Framework (fixtures, asserts)
▹Logging & Debugging
▹Packaging Projects (setup.py, pyproject.toml)
▹Virtual Environments Best Practices
▹Docker Basics (images, containers)
▹CI/CD Pipelines (GitHub Actions, Jenkins basics)

7

Data Science & AI (Optional Advanced Track)

6-8 weeks

▹Exploratory Data Analysis with Pandas
▹Data Visualization with Matplotlib & Seaborn
▹Machine Learning with Scikit-Learn
▹Deep Learning with TensorFlow/Keras
▹Natural Language Processing with NLTK & SpaCy
▹Mini-Project: ML Model Deployment

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