Django & REST Framework

The course suits engineering students who know Python basics and need Django for placement projects or backend interviews in India. It also suits working developers who maintain Django monoliths, and developers moving from Flask or Node.js into Python web work. Because the material runs as one ordered sequence, self-taught developers can follow a structured path instead of stitching together scattered tutorials. If Python itself is still new, start with Python Fundamentals first.

Lessons unlock in order, so each topic builds on the one before it. You read a short card, follow the narration and diagrams, then answer multiple-choice questions on that topic. Every answer comes with an explanation, including for the options you did not pick. The curriculum moves from project setup and URL routing through models, the ORM, and the auth and admin system, into REST API building, API security, testing, performance, and deployment. The course is guided and self-paced, so you choose how many lessons to do each day.

Udemy and Coursera are built largely around recorded lectures and project walkthroughs, which suits learners who want to watch an app being built from start to finish. This course is built around active recall: short reading cards followed by multiple-choice questions that ask you to pick the correct behaviour of a QuerySet, a serializer or a middleware. The two formats do different jobs. A common pattern is to watch a project build, then use MCQ practice to check which parts you can explain without looking back at the code.

Areas where Django and DRF mistakes usually show up:

• Query efficiency, including when repeated database hits appear and how to avoid them
• Migrations and model changes that need to stay in step
• Serializer validation and what the view does with validated data
• Authentication, permissions and throttling chosen for the wrong layer
• Caching, profiling and deployment settings that differ between development and production

Build a small API alongside the course. Read each lesson, answer its MCQs before moving on, and reread the explanation for any question you missed. Retrieval works better than re-reading for DRF because details such as the order of permission checks or what a reverse lookup returns are easy to recognise but hard to recall under interview pressure. Once the framework basics feel solid, the Python Interview Mastery course covers language-level rounds.