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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 2. Part I: Design FREE CHAPTER
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

Cython

Python is capable of creating C and C++ language extensions that are compiled and interact with the Python code. Python itself is written in C, so this is a natural extension.

While Python has a lot of great features, pure speed when performing certain operations, such as numerical operations, is not its forte. This is where the C extensions come into their own as they enable low-level code to be accessed, which can be optimized and run faster than Python. Don't underestimate the possibility of creating a small, localized C extension that speeds up critical parts of the code.

Creating a C extension, however, can be difficult. The interface between Python and C is not straightforward, and the memory management required in C may be daunting unless you have significant experience of working with the C language.

If you want to dive deep into the topic and create your own C/C++ extensions, you can start by reading the official documentation at https://docs...

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