Build a Backend REST API with Python & Django - Advanced

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A laptop screen displaying a terminal window with Python test output and code execution logs. Overlaid text boxes highlight the TDD workflow steps: '1. Create test' and '2. Add功能性' — Preview 1 of 4
The image shows a laptop screen with a terminal window displaying Python test results, overlaid with instructional labels for Test Driven Development steps.

Screenshot of the Codechecker web application interface showing a dropdown menu with a list of course steps for a Python and Django backend API project. — Preview 2 of 4
The Codechecker support tool interface displays a dropdown menu listing specific curriculum steps, such as setting up GitHub projects and configuring Docker, to help students test their code.

A presentation slide with a blue background listing 'RECIPE API' fields like Title, Price, and Ingredients next to a screenshot of a Food Network recipe page for barbecued chicken. — Preview 3 of 4
This slide outlines the data structure for a Recipe API, listing required fields such as title, price, duration, ingredients, tags, and images alongside a sample webpage.

A MacBook Air laptop on a white table displaying a web-based API testing interface with request body inputs and JSON response logs. — Preview 4 of 4
The screen displays an API testing tool showing the request configuration for uploading an image file and the resulting successful server response.