Python Django Multi-Vendor Restaurant Ecommerce with location based search, nearby restaurants. Beginner to Expert
InstructorRathan Kumar
The curriculum provides specific technical instruction on installing PostGIS and GDAL for location-based searches, alongside a complete deployment workflow involving Nginx, Gunicorn, and SSL setup on a VPS.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the technical curriculum for a Django ecommerce system, highlighting core concepts like custom user models alongside implemented features such as payment gateways.
This screenshot shows the Visual Studio Code editor with Python code defining a Django view function named marketplace, demonstrating backend logic implementation.
This screenshot shows the vendor dashboard's menu builder feature, specifically the form used to create a new food category by entering a name and description.
This screenshot displays the vendor profile management interface within the Django application, featuring input fields for restaurant details, location data, and Google-powered address autocomplete.
Instruction covers a wide range of full-stack requirements, including multi-vendor dashboards, AJAX-driven cart interactions, and multiple payment gateway integrations.
Learner signals suggest potential issues with instructional clarity, including reported discrepancies between tutorials and implementation, as well as a specific functional error regarding shop opening hours. Note that these reports predate the displayed update date; while an update is noted, it does not prove these issues were corrected.
The curriculum aligns with the target of building a complex application, though it requires specific prerequisites.