What languages ​​can pycharm be written in?

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Release: 2024-04-19 13:15:30
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PyCharm supports multiple programming languages, including Python, JavaScript, TypeScript, HTML, CSS, SQL, Docker, and Markdown. In addition, it provides features such as remote development, version control integration, unit testing, and code analysis.

What languages ​​can pycharm be written in?

What languages ​​can PyCharm be written in?

PyCharm is a powerful integrated development environment (IDE) that supports multiple programming languages. It is best known for developing Python code, but it can also be used to write other languages.

PyCharm supported languages ​​include:

  • Python: PyCharm is the leading IDE for Python development, providing code completion, debugging, units Features like testing and version control integration.
  • JavaScript: PyCharm supports Node.js development, including code completion, syntax highlighting, error checking, and code refactoring.
  • TypeScript: PyCharm also supports TypeScript, providing JavaScript-like functionality as well as specific TypeScript support, such as type checking.
  • HTML: PyCharm can be used to write HTML code, providing auto-completion, syntax highlighting and code validation.
  • CSS: PyCharm supports CSS development, providing code completion, auto-completion and real-time error checking.
  • SQL: PyCharm can be used to write SQL queries, providing syntax highlighting, code completion, and database connection management.
  • Docker: PyCharm supports Docker containerization, allowing developers to build, run, and debug applications in a Docker environment.
  • Markdown: PyCharm can be used to write Markdown documents, providing syntax highlighting, code block support, and live preview.

Other features:

In addition to the above languages, PyCharm also provides the following features:

  • Remote development: Code development can be performed on the connected server.
  • Version control integration: Integrate with version control systems such as Git, Mercurial and Subversion.
  • Unit testing: Supports unit testing frameworks such as pytest and unittest.
  • Code analysis: Provide code inspection, refactoring and optimization suggestions.

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