Advanced Python Patterns Training
This 3-day advanced training explores Python's most powerful language features and design patterns. Participants master decorators, metaclasses, descriptors, generators, advanced type hints, dataclasses, and structural pattern matching. Each pattern is taught with production-grade examples showing when and why to use it.
Elevate your Python skills with this intensive 3-day deep dive into the language's most powerful features. Master decorators, metaclasses, generators, and design patterns to write elegant, maintainable, and high-performance Python code.
Training Details
| Duration | 3 days (24 hours) |
| Level | Advanced |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
- Experienced Python developers deepening their expertise
- Tech leads establishing coding standards and patterns
- Library and framework authors
- Senior engineers writing reusable, maintainable code
- Anyone preparing for principal or staff-level Python roles
Learning Outcomes
After completing this training, participants will be able to:
- Write and compose decorators for cross-cutting concerns
- Implement metaclasses and class factories for framework-level abstractions
- Build efficient data processing with generators and iterator protocols
- Create context managers for reliable resource management
- Apply classic design patterns idiomatically in Python
- Use type hints, protocols, and structural subtyping for safer code
Detailed Agenda
Day 1: Decorators, Descriptors, and Metaclasses
Module 1: Advanced Decorators
- Function decorators with arguments and functools.wraps
- Class decorators for registration and transformation
- Decorator composition and stacking order
- Hands-on: Build a retry decorator, a caching decorator, and a permission system
Module 2: Descriptors and Properties
- The descriptor protocol (__get__, __set__, __delete__)
- Data vs non-data descriptors
- Building validated attributes with descriptors
- Hands-on: Implement a type-checked ORM field system
Module 3: Metaclasses and Class Creation
- How Python creates classes (__new__ vs __init__)
- Metaclass fundamentals and __init_subclass__
- Class registries and plugin architectures
- Hands-on: Build a declarative model framework with metaclasses
Day 2: Generators, Iterators, and Context Managers
Module 4: Iterators and the Iterator Protocol
- __iter__ and __next__ for custom iterables
- Lazy evaluation and memory-efficient processing
- itertools for combinatorial and infinite sequences
- Hands-on: Build a lazy data pipeline processing millions of records
Module 5: Generators and Coroutines
- Generator functions and expressions
- yield from for delegation and composition
- Generator-based coroutines and send/throw
- Hands-on: Implement a streaming log parser with generators
Module 6: Context Managers
- The context manager protocol (__enter__, __exit__)
- contextlib utilities and @contextmanager
- Nested and reentrant context managers
- Hands-on: Build resource managers for database connections and temp files
Day 3: Design Patterns and Type System
Module 7: Creational and Structural Patterns
- Factory, Abstract Factory, and Builder patterns
- Singleton and Borg patterns in Python
- Adapter, Facade, and Proxy patterns
- Hands-on: Refactor a monolithic codebase using structural patterns
Module 8: Behavioral Patterns
- Strategy, Observer, and Command patterns
- Chain of Responsibility and State machines
- Template Method and Visitor patterns
- Hands-on: Build an event-driven plugin system
Module 9: Type Hints and Protocols
- Advanced type annotations (generics, TypeVar, ParamSpec)
- Protocols and structural subtyping
- Runtime type checking vs static analysis with mypy
- dataclasses, attrs, and Pydantic for data modeling
- Hands-on: Add comprehensive typing to an existing codebase
Prerequisites
- Strong Python programming experience (1+ years)
- Solid understanding of functions, classes, and inheritance
- Familiarity with closures and basic decorators
- Experience building and maintaining Python applications
Delivery Formats
| Format | Description |
|---|---|
| In-Person | On-site at your company's location, hands-on with direct interaction |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs |
| Hybrid | Combination of on-site and remote sessions, flexible scheduling |
All formats include hands-on labs, course materials, pattern reference guides, and post-training support.
Ready to get started?
Request a training quote for your team — in-person, live-online, or hybrid.