Type aliases are user-specified types which may be as complex as any type hint, and are specified with a simple variable assignment on a module top level.| Python Enhancement Proposals (PEPs)
This PEP introduces a simple and intuitive way to annotate methods that return an instance of their class. This behaves the same as the TypeVar-based approach specified in PEP 484 but is more concise and easier to follow.| Python Enhancement Proposals (PEPs)
There is currently no way to specify, using type annotations, that a function parameter can be of any literal string type. We have to specify a precise literal string type, such as Literal["foo"]. This PEP introduces a supertype of literal string types:...| Python Enhancement Proposals (PEPs)
This module provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. It is always available. Unless explicitly noted oth...| Python documentation
Compound statements contain (groups of) other statements; they affect or control the execution of those other statements in some way. In general, compound statements span multiple lines, although i...| Python documentation
A simple statement is comprised within a single logical line. Several simple statements may occur on a single line separated by semicolons. The syntax for simple statements is: Expression statement...| Python documentation
Objects, values and types: Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von ...| Python documentation
This PEP specifies an improved syntax for specifying type parameters within a generic class, function, or type alias. It also introduces a new statement for declaring type aliases.| Python Enhancement Proposals (PEPs)