Python

Supported versions

• Python 2: version 2.7

• Python 3: from the version 3.5 up to the version 3.9

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

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

PyCharm integrates the following features of Python 3.7:

• PEP-561 – Distributing and Packaging Type Information

• PEP-544 – Protocols: Structural subtyping (static duck typing)

• PEP-557 – Data Classes

• PEP-560 – Core support for typing module and generic types

• PEP-562 – Module __getattr__ and __dir__

• PEP-563 – Postponed Evaluation of Annotations

PyCharm provides support for Python 3.5 and (since 2016.3) Python 3.6, with the backing of the following:

• PEP-484 -- Type Hints

• PEP-448 -- Additional Unpacking Generalizations
• PEP-492 -- Coroutines with async and await syntax
• PEP-526 -- Syntax for variable annotations

• PEP-498 -- Literal String Interpolation

• PEP-515 -- Underscores in Numeric Literals

• PEP-525 -- Asynchronous Generators

• PEP-530 -- Asynchronous Comprehensions

Python support in PyCharm

PyCharm provides the following features to help working with Python:

Feature	PyCharm Edu	PyCharm Community	PyCharm Professional
Dedicated project types
Ability to configure local interpreters and virtual environments.
Ability to configure remote and docker-based interpreters.
Python console.
Run/debug configurations for Python
Run/debug configurations for Python remote debug
Code insight, Code inspections, Intention actions, and Code completion
Built-in code formatter and separate set of Python code style settings	Limited to Python, HTML, JSON, and XML	Limited to Python, HTML, JSON, XML, and YAML
Find usages in Python code.
Testing frameworks
Quick documentation
Recognizing Python documentation comments
Documentation generators
Configuring Python debugger.
Navigation to the method hierarchy