https://github.com/lucko515/advance-python-sf

https://github.com/lucko515/advance-python-sf

Last synced: 6 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/lucko515/advance-python-sf
• Owner: lucko515
• Created: 2025-03-25T12:41:44.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2025-03-25T19:43:31.000Z (7 months ago)
• Last Synced: 2025-03-25T20:37:03.690Z (7 months ago)
• Language: Python
• Size: 37.1 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Advanced Python for Salesforce Engineers

A comprehensive 3-day course focusing on advanced Object-Oriented Programming concepts in Python.

## Course Overview

This course is designed for experienced Python developers who want to deepen their understanding of Python's Object-Oriented Programming capabilities. The focus is on advanced topics including metaclasses, descriptors, and decorators, with practical applications for building better software and frameworks.

## Prerequisites

- Solid experience with Python programming

- Understanding of basic OOP concepts (classes, inheritance, polymorphism)

- Familiarity with Python's special methods (`__init__`, `__str__`, etc.)

- Experience with exception handling and context managers

## Course Structure

### Day 1: Understanding Python's Object Model

1. **Python's Object Model Fundamentals**

   - Deep dive into Python's object model

   - Understanding classes and instances

   - Object initialization and lifecycle

   - Attribute lookup and the descriptor protocol

   - The importance of the `type` class

2. **Introduction to Metaclasses**

   - What are metaclasses and why do they exist?

   - The `type` metaclass

   - Understanding class creation

   - Customizing class creation with metaclasses

   - Examples of metaclass usage

3. **Practical Applications of Metaclasses**

   - Class registration patterns

   - Enforcing class invariants

   - Attribute validation at class definition time

   - Extending classes declaratively

   - Real-world use cases in frameworks

### Day 2: Descriptors and Properties

4. **Advanced Method Decorators**

   - Review of basic decorators

   - Function vs. class decorators

   - Decorators with parameters

   - Useful built-in decorators (`@classmethod`, `@staticmethod`, `@property`)

   - Creating robust reusable decorators

5. **Method Resolution and Multiple Inheritance**

   - Python's Method Resolution Order (MRO)

   - The C3 linearization algorithm

   - Multiple inheritance patterns

   - Mixins and composition

   - Understanding `super()` in depth

6. **Property Descriptors**

   - Introduction to the descriptor protocol

   - How properties work as descriptors

   - Building custom property-like descriptors

   - Advanced property patterns

   - Inspecting property objects

7. **Custom Descriptors**

   - When to create custom descriptors

   - Descriptor state storage patterns

   - Validation descriptors

   - Lazy evaluation descriptors

   - Real-world examples from frameworks

### Day 3: Building Frameworks and Practical Applications

8. **Combining Metaclasses, Decorators, and Descriptors**

   - Design patterns leveraging multiple techniques

   - Understanding execution order

   - Building declarative APIs

   - Practical examples of combined techniques

   - Performance and design considerations

9. **Practical Real-world Examples**

   - Django-inspired models system

   - SQLAlchemy-inspired declarative system

   - Flask-inspired routing

   - Attrs-inspired class generation

   - Entity-component systems for games

   - Pydantic-inspired data validation