Is there a compiled strongly typed version of Python?

But in a strongly-typed language you can't do 'Hello' + 5 + 'Goodbye', because there's no defined way to "add" strings and numbers to each other. In a weakly typed language, the compiler or interpreter can perform behind-the-scenes conversions to make these types of operations work; for example, ...

strong_typing is a Python package containing some classes to create strongly typed structures in Python

Mypy is an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing. Mypy combines the expressive power and convenience of Python with a powerful type system and compile-time type checking.

Type-safe languages are sometimes also called strongly or strictly typed. The behaviors classified as type errors by a given programming language are usually those that result from attempts to perform operations on values that are not of the appropriate data type, e.g. trying to add a string to an integer. Type enforcement can be static (catching potential errors at compile ...

Python has strict typing rules at compile time, each object created has just one type. And 'generally' doesn't imply anything, it just means that Python is an exception to that. 2019-05-08T13:19:13.157Z+00:00 ...

I know that Python is mainly slower than languages like fortran and c/c++ because it is interpreted rather than compiled. Another reason I have also read about is that it is quite slow because it is dynamically typed, i.e. you don't have to declare variable types and it does that automatically.

Mypyc uses mypy to perform type checking and type inference. Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python. ... Documentation is available at ReadTheDocs. We track the performance of mypyc using several benchmarks...

This means that it can compile normal Python code without changes (with a few obvious exceptions of some as-yet unsupported language features, see Cython limitations). However, for performance critical code, it is often helpful to add static type declarations, as they will allow Cython to step out of the dynamic nature of the Python code and generate simpler and faster C code - sometimes faster by orders of magnitude.

I'm sorry to break it to you, but that's an oxymoron. The whole idea of static types is that they don't need to be validated at runtime · Python has a static type system which is gradual (ie. allows for untyped code) and is separate from the strongly but dynamically typed semantics of Python ...