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Mastering Flask Web and API Development

Mastering Flask Web and API Development

By : Sherwin John C. Tragura
5 (2)
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Mastering Flask Web and API Development

Mastering Flask Web and API Development

5 (2)
By: Sherwin John C. Tragura

Overview of this book

Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web and API Development will take you on an exhaustive tour of the Flask environment and teach you how to build a production-ready application. You’ll start by installing Flask and grasping fundamental concepts, such as MVC and ORM database access. Next, you’ll master structuring applications for scalability through Flask blueprints. As you progress, you’ll explore both SQL and NoSQL databases while creating REST APIs and implementing JWT authentication, and improve your skills in role-based access security, utilizing LDAP, OAuth, OpenID, and databases. The new project structure, managed by context managers, as well as ASGI support, has revolutionized Flask, and you’ll get to grips with these crucial upgrades. You'll also explore out-of-the-box integrations with technologies, such as RabbitMQ, Celery, NoSQL databases, PostgreSQL, and various external modules. The concluding chapters discuss enterprise-related challenges where Flask proves its mettle as a core solution. By the end of this book, you’ll be well-versed with Flask, seeing it not only as a lightweight web and API framework, but also as a potent problem-solving tool in your daily work, addressing integration and enterprise issues alongside Django and FastAPI.
Table of Contents (18 chapters)
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1
Part 1:Learning the Flask 3.x Framework
6
Part 2:Building Advanced Flask 3.x Applications
12
Part 3:Testing, Deploying, and Building Enterprise-Grade Applications

Summary

There are lots of NoSQL databases that can store non-relational data for big data applications built with Flask 3.x. Flask can PUT, GET, and SCAN data in HBase using HDFS, access the Cassandra database, execute HGET an HSET with Redis, perform CRUD operations in Couchbase and MongoDB, and manage nodes with Neo4J. Although there are changes in some support modules, such as in flask-mongoengine, because of the transformations in the Flask internal modules (for example, the removal of flask.json), Flask can still adapt to other Python module extensions and workarounds to connect to and manage its data, such as using the FastAPI-compatible Redis OM.

In general, this chapter showcased Flask’s compatibility with almost all the efficient, popular, and widely used NoSQL databases. It is also a Python framework that’s fit for building big data applications for many enterprises and scientific development because it supports many NoSQL storages.

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