Advanced Python Programming & Applications

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

• This course is hands-on and very practical. You will be given many examples and challenges to try out on your own

Key learning outcomes

At the end of this course, you will be able to:

• Easily summarise data trends from large data sets

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.