Advanced Python Patterns Training

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.