Multiple programming paradigms it supports (object-oriented, functional and aspect-oriented programming) and powerful language features allow us to use Python for developing large and complex software applications. However, it really shines in rapid prototyping and quick MVP delivery.
A wide range of use
We frequently use Python on projects that facilitate data analysis, visualization, and artificial intelligence techniques. From simple applications that run on embedded hardware, to complex machine learning solutions for analyzing MR imagery, Python proves to be an ideal tool for delivering sophisticated solutions quickly and efficiently.