Discussions
Which is Better: Python or Postman for API Testing?
As someone learning backend development, I often find myself torn between using Postman and Python when working with APIs. At first, Postman felt like the perfect entry point — intuitive, visual, and quick to set up. It’s great when I just need to check if an endpoint responds properly or when I’m debugging headers and query strings. It’s like the API equivalent of a warm-up lap before running the full race. But when I started working on more advanced test automation, chaining multiple requests, or integrating assertions into a CI/CD pipeline, Python clearly came out ahead. Using Python’s requests or httpx libraries allowed me to write flexible, repeatable, and scalable test cases that Postman alone couldn’t handle. It kind of reminded me of Flappy Bird — you start tapping just to get a feel for it, but once you’re in the zone, you realize precision and automation are everything. That’s how Python feels in API testing: once you know the flow, it takes you further. I usually use Postman first to explore the API, then switch to Python for the real work. In the end, it’s not about which tool is better overall — it’s about when to use which. For beginners, Postman is perfect. For deeper testing and integration, Python wins. I’m curious: which one do you prefer for API workflows?