Python language support

Supported versions

• Python 2: version 2.7

• Python 3: from the version 3.8 up to the version 3.14

The following features are available as part of Python 3.13 support:

• PEP 696 – Type Defaults for Type Parameters

• PEP 702 – Marking deprecations using the type system

• PEP 742 – Narrowing types with TypeIs

• PEP 705 – TypedDict: Read-only items

The following features are available as part of Python 3.12 support:

• PEP 695 – Type Parameter Syntax

• PEP 669 – Low Impact Monitoring for CPython

• PEP 701 – Syntactic formalization of f-strings

• PEP 698 – Override Decorator for Static Typing

• PEP 692 – Using TypedDict for more precise **kwargs typing

The following features are available as part of Python 3.11 support:

• PEP 673 – Self Type

• PEP 646 – Variadic Generics

• PEP 654 – Exception Groups and except*

• PEP 655 – Marking individual TypedDict items as required or potentially-missing

• PEP 681 – Data Class Transforms

The following features are available as part of Python 3.10 support:

• PEP 647 – User-Defined Type Guards

• PEP 604 – Allow writing union types as X | Y

• PEP 612 – Parameter Specification Variables

• PEP 613 – Explicit Type Aliases

• PEP 634 – Structural Pattern Matching: Specification

• PEP 635 – Structural Pattern Matching: Motivation and Rationale

• PEP 636 – Structural Pattern Matching: Tutorial

The following features are available as part of Python 3.9 support:

• PEP 585 – Type Hinting Generics In Standard Collections

• PEP 593 – Flexible function and variable annotations

• PEP 614 – Relaxing Grammar Restrictions On Decorators

• PEP 617 – New PEG parser for CPython

The following features are available as part of Python 3.8 support

• PEP-570 – Python Positional-Only Parameters

• PEP-572 – Assignment Expressions

• PEP-586 – Literal Types

• PEP-589 – TypedDict: Type Hints for Dictionaries with a Fixed Set of Keys

• PEP-591 – Adding a final qualifier to typing

• Python bug tracker task #36817 – Support = expressions in f-strings

Python support in IntelliJ IDEA

IntelliJ IDEA provides the following features to help you work with Python:

• Dedicated module type.

• Ability to configure interpreters.

• Python Console.

• Run/debug configurations for Python, and Python remote debug.

• Code insight.

• Code inspections.

• Intention actions.

• Code completion and resolve.

• Built-in code formatter and separate set of Python code style settings.

• Find usages in Python code.

• Testing frameworks.

• Quick documentation.

• Creating Python documentation comments.

• Configuring Python debugger.

• UML Class diagram for Python classes.