Supported languages

Development of a modern application involves using multiple languages, that is why PyCharm is an IDE for polyglot programming.

PyCharm supports the following languages:

• Python

  • Python should be downloaded and installed on your computer.

  • PyCharm supports the following versions of Python:

    • Python 2: version 2.7

    • Python 3: from the version 3.6 up to the version 3.13

  • PyCharm supports wxPython, PyQt4 and PyGTK.

• JavaScript. For more information, refer to JavaScript.

• CoffeeScript. For more information, refer to CoffeeScript.

• Markup languages and Style Sheets:

  • XML

  • HTML/XHTML

  • YAML

  • CSS

  • Sass/Less

  • Stylus

PyCharm supports the following frameworks, tools, and template languages:

• Django support.

• Google App Engine.

• Flask support.

• Pyramid. For more information, refer to Pyramid.

• Maya. This support includes remote debugging and launching scripts in Maya.

• Template languages:

  • Jinja2

  • Chameleon

  For more information, refer to Add Django templates.

• SQLAlchemy. This support includes:

  • Code insight

  • Possibility to view database structure in a diagram. For more information, refer to UML class diagrams.

  • Code completion and resolve.

Coding assistance in PyCharm includes:

• Syntax and error highlighting to maintain green code

• File templates to create stub classes, scripts, and so on

• Live templates to expand abbreviations into complicated code constructs

• Code completion to complete names of classes, methods, fields, parameters, and other entities depending on the context

• Code generation to generate language-specific code constructs

• Intention actions and quick fixes to optimize your code

• Code refactorings to rename, move, copy, and delete entities across the whole codebase

• Import assistance to import missing libraries

• Language injections for working with supported languages inside string literals, tags, or attributes

• Code reference information for viewing API documentation, parameter names and hints in methods, static expression data, and so on

Besides coding assistance, PyCharm also supports language-specific tools for building, running, testing, and deploying applications.