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Mastering Flask

You're reading from   Mastering Flask Gain expertise in Flask to create dynamic and powerful web applications

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781784393656
Length 288 pages
Edition 1st Edition
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Author (1):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
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Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps Index

Setting up SQLAlchemy

In order to follow along in this chapter, you will need a running database if you do not already have one. If you have never installed a database or you do not have a preference, SQLite is the best option for beginners.

SQLite is a SQL that is fast, works without a server, and is entirely contained in one file. Also, SQLite is natively supported in python. If you choose to go with SQLite, a SQLite database will be created for you in the Our first model section.

Python packages

To install Flask SQLAlchemy with pip, run the following:

$ pip install flask-sqlalchemy

We will also need to install specific packages for the database you chose to use that will act as the connector for SQLAlchemy. SQLite users can skip this step:

# MySQL
$ pip install PyMySQL
# Postgres
$ pip install psycopg2
# MSSQL
$ pip install pyodbc
# Oracle
$ pip install cx_Oracle

Flask SQLAlchemy

Before we can abstract our data, we need to set up Flask SQLAlchemy. SQLAlchemy creates its database connection...

You have been reading a chapter from
Mastering Flask
Published in: Sep 2015
Publisher: Packt
ISBN-13: 9781784393656
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