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Hands-On Enterprise Application Development with Python

You're reading from   Hands-On Enterprise Application Development with Python Design data-intensive Application with Python 3

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789532364
Length 374 pages
Edition 1st Edition
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Author (1):
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Saurabh Badhwar Saurabh Badhwar
Author Profile Icon Saurabh Badhwar
Saurabh Badhwar
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Table of Contents (19) Chapters Close

Preface 1. Using Python for Enterprise FREE CHAPTER 2. Design Patterns – Making a Choice 3. Building for Large-Scale Database Operations 4. Dealing with Concurrency 5. Building for Large-Scale Request Handling 6. Example – Building BugZot 7. Building Optimized Frontends 8. Writing Testable Code 9. Profiling Applications for Performance 10. Securing Your Application 11. Taking the Microservices Approach 12. Testing and Tracing in Microservices 13. Going Serverless 14. Deploying to the Cloud 15. Enterprise Application Integration and its Patterns 16. Microservices and Enterprise Application Integration 17. Assessment 18. Other Books You May Enjoy

Database and object relational mappers

As we discussed in the previous chapters, Python provides us with a lot of object-oriented capabilities, and allows us to map our use cases in terms of classes and objects. Now, when we can map our problem set into a class and its objects, why shouldn't we also map our database tables as objects, where a particular class represents a table, and its objects represent the rows in the table. Going down this route helps us to maintain not only the consistency of how we write our code, but also how we model our problem.

The frameworks that provide the functionality through which we can map our databases to objects are known as ORMs and they help us to visualize our database as a set of classes and objects.

In the Python landscape, it is quite common to see ORMs. For example, a popular Python web framework, Django, provides its own...

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