Cursor provides robust support for Python development, including the ability to use your existing Python environments. This guide will show you how to configure and use different types of Python environments in Cursor. Cursor supports various Python environment types: 1. Setting Up Environment Path

Streamline result sets – Cursors provide methods like fetchone () and fetchmany () for incrementally processing query results. By using a cursor, you get an abstraction that makes database interactions simpler and more Pythonic. Let‘s see how this works in practice! To work with a database, first you establish a connection to it from Python.

Cursor automatically detects Python environments in your project: Create a .env file: If Cursor doesn't detect your environment: For import problems: To resolve conflicts: 1. Project Structure Maintain a clear project structure: 2. Environment Management 3. Development Workflow 1. Environment Loading 2. Analysis Settings

If you use uv to manage Python dependencies, the built‑in "Run Python File" action in VS Code/Cursor will still execute with your selected interpreter, not with uv run. Even if you point the Python interpreter at a uv venv, you still need to uv scripts using uv run foo.py so that dependencies and environment resolve correctly.