Book Image

Mastering Flask Web Development - Second Edition

By : Daniel Gaspar, Jack Stouffer
Book Image

Mastering Flask Web Development - Second Edition

By: Daniel Gaspar, Jack Stouffer

Overview of this book

Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application. You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM. You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints. You'll then learn how to use Jinja2 templates with a high level of expertise. You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication. Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database. Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis. You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging. You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports. Finally, you will learn how to deploy your application on Heroku and AWS using various technologies, such as Docker, CloudFormation, and Elastic Beanstalk, and will also learn how to develop Jenkins pipelines to build, test, and deploy applications.
Table of Contents (15 chapters)

Setting up SQLAlchemy

In order to go through the exercises 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, then SQLite is the best option for beginners, or if you want to quickly bootstrap a proof of concept.

SQLite is an SQL-embedded database engine that is fast, works without a server, and is entirely contained in one file. SQLite is also natively supported in Python, so if you choose to go with SQLite, an SQLite database will be automatically created for you during the exercise in the Our first model section.

Python packages

Flask SQLAlchemy can be used with multiple database engines, such as ORACLE, MSSQL, MySQL...