Mastering Flask Web and API Development: Build and deploy production-ready Flask apps seamlessly across web, APIs, and mobile platforms

Discover how to construct API and web components, build enterprise-grade applications, design and implement unit and behavioral testing, and plan deployment strategies for scalable Flask 3 applications

Key Features

• Implement web and API applications using both standard and asynchronous Flask components
• Improve your dev experience with signals, route decorators, async/await design patterns, context managers, and nested blueprints
• Tie all the features together in each chapter through practical, relatable applications
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Prepare, set up, and configure development environments for both API and web applications
• Explore built-in serializers and encoders that processes request and response data
• Solve big data issues by integrating Flask applications with NoSQL databases
• Apply various ORM and ODM techniques to build model and repository layers
• Integrate with OpenAPI, Circuit Breaker, ZooKeeper, and OpenTracing to build scalable API applications
• Use Flask middleware to provide CRUD transactions for Flutter-based mobile applications

Who this book is for

This book is for proficient Python developers seeking a deeper understanding of the Flask framework as a solution for tackling enterprise challenges. It is also a great resource for Flask-savvy readers eager to learn more about the framework’s advanced capabilities and new features.

Table of Contents

1. A Deep Dive into the Flask Framework
2. Adding Advanced Core Features
3. Creating REST Web Services
4. Utilizing Flask Extensions
5. Building Asynchronous Transactions
6. Developing Computational and Scientific Applications
7. Using Non-Relational Data Storage
8. Building Workflows with Flask
9. Securing Flask Applications
10. Creating Test Cases for Flask
11. Deploying Flask Applications
12. Integrating Flask with Other Tools and Frameworks

Sherwin John C. Tragura is currently a subject matter expert and technical consultant in a company in the Philippines. He has been part of many development teams customizing Alfresco DMS/RMS and building Java and Python standalone and web projects. He is also a certified professional and bootcamp technical trainer who has delivered technical training on Java, Jakarta EE, C#, .NET, Python, Node frameworks, and other customized training courses since 2011. He was also associated as a lecturer with the Dela Salle University-Manila, Colegio de San Juan de Letran-Calamba, and the University of the Philippines-Los Banos. He is the author of other Packt books, including Spring MVC Blueprints, Spring 5 Cookbook, and Building Python Microservices with FastAPI.