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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

Introduction

In the previous chapter, we were only storing our data in application memory. While it is easy to code that way, the data will be gone once the server restarts. That is obviously not ideal because we would expect the data to be persisted even after a server restart or application migration and suchlike. Therefore, in this chapter, we will talk about persisting data in a database. We will begin by installing the Postgres database on our local machine. Then, we will create a database using pgAdmin and interact with it using the ORM (Object Relational Mapping) package, SQLAlchemy. ORM allows us to interact with a database by means of an object instead of an SQL query. After that, we will define the user and recipe models, link them up, and use Flask-Migrate to create the corresponding tables in the database. Once that part is complete, we will go through exercises to understand the utilization of SQLAlchemy in the Python console. Lastly, we will add the resource for users...

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