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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

To get the most out of this book

  • The book uses Python language for code examples, and assumes that the reader is comfortable reading it, though an expert level is not needed.
  • Previous exposure to complex systems with multiple services will be advantageous to understand the different challenges software architecture presents. This should be simple for developers with a couple of years of experience or more.
  • Familiarity with web services and REST interfaces is useful to better understand some elements.

Download the example code files

The code bundle for the book is hosted on GitHub at https://github.com/PacktPublishing/Python-Architecture-Patterns. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://static.packt-cdn.com/downloads/9781801819992_ColorImages.pdf

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, object names, module names, folder names, filenames, file extensions, pathnames, dummy URLs and user input. Here is an example: "For this recipe, we need to import the requests module."

A block of code is set as follows:

def leonardo(number):
    if number in (0, 1):
        return 1
    # EXAMPLE COMMENT
    return leonardo(number - 1) + leonardo(number - 2) + 1

Note that code may be edited for concision and clarity. Refer to the full code when necessary, which is available on GitHub.

Any command-line input or output is written as follows (notice the $ symbol):

$ python example_script.py parameters 

Any input in the Python interpreter is written as follows (notice the >>> symbol). Expected output will be reflected without the >>> symbol:

>>> import logging
>>> logging.warning('This is a warning')
WARNING:root:This is a warning

To enter the Python interpreter, call the python3 command with no parameters:

$ python3
Python 3.9.7 (default, Oct 13 2021, 06:45:31)
[Clang 13.0.0 (clang-1300.0.29.3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>

Any command-line input or output is written as follows:

$ cp example.txt copy_of_example.txt

Bold: Indicates a new term, an important word, or words that you see on the screen, for example, in menus or dialog boxes, also appear in the text like this. For example: "Select System info from the Administration panel."

Warnings or important notes appear like this.

Tips and tricks appear like this.

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