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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture FREE CHAPTER 2. Part I: Design
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Python introspection tools

As Python is a dynamic language, it's very flexible and allows you to perform actions on its objects to discover their properties or types.

This is called introspection, and allows you to inspect elements without having too much context about the objects to be inspected. This can be performed at runtime, so it can be used while debugging to discover the attributes and methods of any object.

The main starting point is the type function. The type function simply returns the class of an object. For example:

>>> my_object = {'example': True}
>>> type(my_object)
<class 'dict'>
>>> another_object = {'example'}
>>> type(another_object)
<class 'set'>

This can be used to double-check that an object is of the expected type.

A typical example error is to have a problem because a variable can be either an object or None. In that case, it's possible...

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