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Other Python IDEs and Environments

An editor or notebook interface helps you write and run code; it does not automatically make dependencies reproducible. Whichever interface you choose, connect it to a documented project environment and verify the selected interpreter.

Visual Studio Code​

Install VS Code and Microsoft's Python extension from their official sources. Open the project directory, select the interpreter inside .venv, and verify it in the integrated terminal:

python -c "import sys; print(sys.executable)"

Workspace settings can record an interpreter preference, but avoid committing machine-specific absolute paths.

PyCharm​

PyCharm can create a new environment or use an existing interpreter. Check the project interpreter in its settings before installing packages or running code. Features and licensing differ between editions, so use JetBrains' current comparison rather than assuming every feature is available.

Google Colab​

Colab hosts notebooks in managed, temporary runtimes. Package versions and hardware availability can change, and accelerators are subject to availability and usage limits. Treat the runtime as disposable:

  • inspect Python and package versions;
  • keep installation cells explicit;
  • store durable work outside the runtime;
  • never put credentials directly in notebook cells or outputs;
  • rerun the notebook from a fresh runtime before sharing results.

Choosing a tool​

Choose based on the work: notebooks are strong for exploration and narrative; an IDE or editor is usually better for multi-file applications, tests, and refactoring. The project should remain runnable from documented commands without depending on one person's editor state.