Set up Python development with extensions and linting tools
Before we begin, ensure you have:
The following extensions setup Cursor to be fully featured for Python development. These provide you with syntax highlighting, linting, debugging and unit testing.
Core language support from Microsoft
Fast Python language server
Enhanced debugging capabilities
Visual testing interface
Automatic documentation generation
Manage Python paths
Virtual environment management
Code snippets for Python
While the above extensions have previously been the most popular extensions for Python development in Cursor, we’ve also added some additional extensions that can help you get the most out of your Python development.
uv
- Python Environment Manageruv is a modern Python package manager that can be used to create and manage virtual environments, in addition to replacing pip as the default package manager.
To install uv, run the following command in your terminal:
ruff
- Python Linter and FormatterRuff is a modern Python linter and formatter that can be used to check for programming errors, helps enforce coding standards, and can suggest refactoring. It can be used alongside Black for code formatting.
To install Ruff, run the following command in your terminal:
Configure your Python interpreter in Cursor:
Set up automatic code formatting with Black:
To install Black, run the following command in your terminal:
Then, configure Cursor to use Black for code formatting, by adding the following to your settings.json
file:
We can use PyLint to check for programming errors, helps enforce coding standards, and can suggest refactoring.
To install PyLint, run the following command in your terminal:
In addition to linting, we can use MyPy to check for type errors.
To install MyPy, run the following command in your terminal:
Cursor provides powerful debugging capabilities for Python:
launch.json
for custom debug configurationsIntelligent code suggestions that understand your actions
Explore and understand code through natural conversations
Handle complex development tasks with AI assistance
Pull in context from 3rd party systems
Automatically import modules as you code
Cursor constantly reviews your code with AI
Cursor works seamlessly with popular Python frameworks:
Set up Python development with extensions and linting tools
Before we begin, ensure you have:
The following extensions setup Cursor to be fully featured for Python development. These provide you with syntax highlighting, linting, debugging and unit testing.
Core language support from Microsoft
Fast Python language server
Enhanced debugging capabilities
Visual testing interface
Automatic documentation generation
Manage Python paths
Virtual environment management
Code snippets for Python
While the above extensions have previously been the most popular extensions for Python development in Cursor, we’ve also added some additional extensions that can help you get the most out of your Python development.
uv
- Python Environment Manageruv is a modern Python package manager that can be used to create and manage virtual environments, in addition to replacing pip as the default package manager.
To install uv, run the following command in your terminal:
ruff
- Python Linter and FormatterRuff is a modern Python linter and formatter that can be used to check for programming errors, helps enforce coding standards, and can suggest refactoring. It can be used alongside Black for code formatting.
To install Ruff, run the following command in your terminal:
Configure your Python interpreter in Cursor:
Set up automatic code formatting with Black:
To install Black, run the following command in your terminal:
Then, configure Cursor to use Black for code formatting, by adding the following to your settings.json
file:
We can use PyLint to check for programming errors, helps enforce coding standards, and can suggest refactoring.
To install PyLint, run the following command in your terminal:
In addition to linting, we can use MyPy to check for type errors.
To install MyPy, run the following command in your terminal:
Cursor provides powerful debugging capabilities for Python:
launch.json
for custom debug configurationsIntelligent code suggestions that understand your actions
Explore and understand code through natural conversations
Handle complex development tasks with AI assistance
Pull in context from 3rd party systems
Automatically import modules as you code
Cursor constantly reviews your code with AI
Cursor works seamlessly with popular Python frameworks: