Overview

This lab on Behavior Driven Development (BDD) with Python Flask serves as an educational resource designed for aspiring software engineers. It combines the powerful Flask micro-framework with the flexibility of Behave for testing, making it an essential experiment in mastering modern development methodologies. The emphasis on testing from the outset underscores the importance of creating code that is robust, maintainable, and understandable, aligning with the adage that if it's worth building, it's worth testing.

Notably, this lab provides a practical environment using Docker and Visual Studio Code, facilitating hands-on experience in deploying applications. By integrating PostgreSQL and the latest tools for test-driven development (TDD), it prepares developers to ensure their code remains reliable even through iterations and enhancements. As you dive into the material, you'll grasp the significance of BDD, enhancing collaboration between developers and stakeholders.

Features

Docker-based Environment: Utilizes Docker and Visual Studio Code with Remote Containers for a repeatable and consistent development setup, simplifying the onboarding process.
Flask Micro-framework: Leverages Flask, a lightweight web framework, enabling quick development and deployment of web applications.
Behavior Driven Development: Introduces Behave to define acceptance tests that are easily understandable, fostering better communication between tech and non-tech stakeholders.
Test Driven Development Tools: Implements PyUnit and PyTest for robust testing practices, ensuring your code performs as expected through development cycles.
Advanced Testing Syntax: Utilizes the compare library to integrate RSpec-like syntax into Python, boosting the readability of test cases and enhancing developer experience.
PostgreSQL Integration: Demonstrates how to incorporate PostgreSQL as a robust database solution, complementing the Flask applications built in this lab.
Easy Cloning and Setup: The repository is designed for quick cloning and setup, making it accessible for learners and developers to get started without delays.
Flexibility with Virtual Machines: Offers an alternative setup using Vagrant and VirtualBox, appealing to a broader range of developer preferences for local environments.

Nyu Devops

Lab Flask Bdd

Lab Flask Tdd