What is the impact of Python’s dynamic typing on software development?

Python’s dynamic typing lets the programmer be flexible and prototype much faster since there is no need for explicit type definition. This gives more room, in turn, to possible runtime errors, since types are carefully handled. In fact, that factor actually affects big projects where usually type safety is a must. Developers get around this by using extra tools: usually a combination of things like type hints and/or static checkers such as mypy, which indeed help to make their code robust.