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Python API Development Fundamentals

You're reading from   Python API Development Fundamentals Develop a full-stack web application with Python and Flask

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Product type Paperback
Published in Nov 2019
Publisher
ISBN-13 9781838983994
Length 372 pages
Edition 1st Edition
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Authors (3):
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Jack Chan Jack Chan
Author Profile Icon Jack Chan
Jack Chan
Jack Huang Jack Huang
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Jack Huang
Ray Chung Ray Chung
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Ray Chung
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Toc

Table of Contents (12) Chapters Close

Preface 1. Your First Step FREE CHAPTER 2. Starting to Build Our Project 3. Manipulating a Database with SQLAlchemy 4. Authentication Services and Security with JWT 5. Object Serialization with marshmallow 6. Email Confirmation 7. Working with Images 8. Pagination, Searching, and Ordering 9. Building More Features 10. Deployment Appendix

A Simple Schema

We will be using the Schema class from marshmallow to specify the fields for the objects that we want to serialize/deserialize. Without knowing the schema of the objects and how we want to serialize the fields, we can't perform serialization or deserialization. In the following example, you can see we have a simple SimpleSchema class, which extends marshmallow.Schema, and there are two fields defined there, id and username:

from marshmallow import Schema, fields
class SimpleSchema(Schema):
    id = fields.Int() 
    username = fields.String()

The data type of the fields are defined using the marshmallow fields. From the preceding example, the id field is an integer, while the username field is a string. There are a number of different data types in marshmallow, including Str, Int, Bool, Float, DateTime, Email, Nested, and so on.

With the schema specified, we can start doing object serialization and deserialization...

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