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.