Smart code coverage
100 % code coverage is a myth, each line of code being tested doesn't guarantee high quality. Too many tests in dynamic and young projects cause maintenance problems as code base change with high frequency. Don't forget about integration tests and end to end tests, in now days software can be composed of many interacting services, testing if communication between them is correct is critical.
Our Python Code is inline with solution blueprint. We first draw how to solve the problem than we implement it in the code. Software is a complicated beast when You consider how many components need to be used, we know that only good visual blueprint can let You grasp the whole.
State of ART
We obey PEP-8 standards, using type annotation, making performance checks and using continuous development to deliver best quality products in reasonable time.