Advanced Python: Master Design Patterns, APIs, Frontends, Concurrency

Master advanced Python programming in 9 weeks. Learn OOP, functional programming, data science, web development, and automation

Python Advanced

Course summary

• Duration: One day per week for 9 weeks
• Times: 11am – 5pm
• Location: ONLINE OR IOD, 116 Pall Mall, London, SW1Y 5ED
• Instructor-led: No training-bots in our classroom yet
• Certificate: PCWorkshops certificate is issued on completion
• Notes: Includes notes, exercises, code samples, some videos.
• Laptops: Bring your own device, download anaconda.com
• Installation assistance: Email us for assistance from our technical professional should you require help
• Software: Necessary software will be downloaded during sessions
• Practical: Each session will provide practical exercises to be completed for the next session. Individual mentoring and assistance can be scheduled. Final Project: the course includes a final project
• Target Audience: Students who have completed the previous course or have intermediate Python knowledge.

Week 1: Advanced OOP and Design Patterns

• Review of OOP: Composition vs Inheritance
• Advanced Class Features:
• • Classmethods, Staticmethods
  • __slots__, @property, descriptors
  • Dunder methods and custom operators
• SOLID principles in Python
• Design Patterns in Python:
• -->> Singleton, Factory, Strategy, Observer, Decorator, Command
• -->> Composition over inheritance (practical examples)
  

Week 2: Functional Programming & Itertools

• Functional paradigms in Python:
• Lambda, map(), filter(), reduce(), zip()
• Closures, decorators (nested and parameterized)
• Generators & Coroutines
• Generator Expressions vs List Comprehensions
• Custom Iterators
• itertools and functools deep dive
  

Week 3: Web Development with Flask

• Web server basics
• Flask app structure
• Routing, templates (Jinja2), static files
• Handling forms and user input
• Working with sessions and cookies
• REST API basics with Flask
• Connecting Flask with databases (SQLite/PostgreSQL)
  

Week 4: REST APIs and FastAPI

• REST architecture principles
• FastAPI vs Flask
• Creating APIs with FastAPI
• Pydantic models
• Dependency injection
• API documentation with Swagger/OpenAPI
• Authentication with OAuth2 and JWT (Intro)
  

Week 5: Web Scraping & Data Extraction

• requests and httpx
• Parsing HTML with BeautifulSoup and lxml
• Extracting data from dynamic websites using Selenium
• Anti-scraping protection and handling captchas
• Exporting data to CSV, Excel, and databases
• Scheduled scraping and automation

Week 6: Testing, Debugging & Logging

• Unit Testing with unittest and pytest
• Mocking, Fixtures
• Writing testable code (TDD principles)
• Debugging tools: pdb, breakpoint(), IDE debuggers
• Logging with the logging module
• Exception hierarchies and custom exceptions

Week 7: Concurrency & Parallelism

Week 8: Capstone Project & Career Prep

• Choose from:
• Full-stack Python web app
• End-to-end ML project with deployment
• Data pipeline (scraping → ETL → analysis → dashboard)
• Version Control with Git (branching, merges, GitHub workflow)
• Introduction to Docker and virtual environments
• Packaging and publishing your Python project (setuptools, PyPI)
• Final presentations and code reviews

Tools & Libraries Used:

• Flask / FastAPI
• SQLAlchemy
• Pandas, NumPy, Matplotlib, Seaborn
• Scikit-learn
• Pytest
• Git / GitHub
• Docker (intro level)

Your trainer:

Sarah Barnard has been a software and database developer for 20+ years.

The founded, grew and sold 3 software training companies during this time.

She has published 5000+ educational programming scripts available under white label, 49 training manuals available on Shopify, manages a Udemy chanel and a Programming Languages Meetup group.