Master data creation & management with Flask APIs and a modern workflow

This project-based course delves into building a full-fledged Flask API application, empowering you to effectively create, manage, and serve dynamic data. By the end, you'll have a robust API and the hands-on skills to tackle real-world data-driven projects.

What you'll learn:

• Solid foundations: Set up your Flask project, manage dependencies, and implement linting for professional code.

• Modern containerisation: Leverage Docker to manage your database (PostgreSQL) and environment variables seamlessly.

• Structured & scalable: Follow the Flask API factory approach for a well-organised and maintainable project structure.

• Powerful ORM: Utilise SQLAlchemy to map your data models to the database and ensure seamless interaction.

• Data modelling: Design and implement comprehensive models to represent your data entities effectively.

• Migrations & version control: Manage database schema changes using Alembic for a smoother workflow.

• API construction: Build robust API endpoints using best practices, blueprints, and data validation with Marshmallow.

• Comprehensive documentation: Integrate Swagger-UI to provide API documentation for easy consumption and usage.

Course outline:

• Project Setup: Learn how to set up a Flask project, manage dependencies, and configure linting.

• Docker & Database: Discover containerisation with Docker, explore PostgreSQL setup, and utilise environment variables effectively.

• Flask API Factory: Understand the factory approach, implement the project structure, and configure the entry point.

• Models & Database: Dive into SQLAlchemy, design your data model, create models for various entities, and leverage Alembic for migrations.

• Building an API: Register blueprints, utilise Marshmallow for data validation, create your first API endpoint, and integrate Swagger-UI documentation.