Should you develop your product’s backend with Python?

Python allows us to do more with less code. Meaning, it lets us shape your ideas and build your prototypes that much faster. Dynamic languages like Python offer flexibility. Python owes a huge deal of its flexibility to the many programming frameworks and environments that make the development of specific applications easy and quick. We make sure to exploit its advantages for your benefit. Particularly when your requirements aren't entirely nailed down, a dynamic language lets you get started anyway. Rework will never spiral into chaos. Whereas with languages like Java and C++, you are reluctant to tackle major design changes as it's hard to break everything, then get it to compile and work again. In Python, major changes aren't as expensive, and its readability makes collaboration easy for various programmers working on the same codebase.

Now if you’re working on a budget and need your product rolled out right away, it becomes crucial to choose the right language. The more complex and bigger the project, the more critical this choice becomes. As you look around, Python will soon seem like the best option with its fast deployment and a lesser amount of code required, compared to the rest of the options in the market today. If you’re still skeptical, here’s more food for thought. Python is a scripting language. So when coding tends to be in flux, when requirements and design keep changing, a change to the code is all you need to be off and running again. Testing too is a lot easier since the work cycle is shorter. Here it isn't code, compile, build then test. It’s code and test. And when you work with developers that have the experience required to identify and fix architectural bottlenecks quickly as they arise, scaling with Python to support millions of concurrent users won’t be a challenge.