Development guides

A local Python development environment

Connect your interpreter, terminal and project dependencies in one workspace.

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Select and verify Python

Use Runtime Manager to install or select a supported Python workload. Open a new integrated terminal and run python --version to confirm the interpreter in that session. App-managed runtime resolution reduces reliance on a global Python installation, which is useful on shared Windows computers.

The Python version and available add-ons depend on the application build and workload catalog. Read installation status before running code. Tkinter and other optional components may require an additional workload; do not assume every portable Python package includes the same standard-library extensions.

Keep dependencies project-specific

Use a project virtual environment when the selected Python distribution supports venv. Activate it in the terminal and install dependencies with python -m pip so the package manager is tied to the intended interpreter. Record dependencies in the project’s supported manifest or requirements file.

Choose your environment deliberately before executing scripts or tests. A working interpreter does not imply that third-party packages are present. Some dependencies need native libraries or compilers, so installation can be affected by operating-system compatibility, disk space and repository access.

Separate execution from editor intelligence

Run Code and the integrated terminal support execution with the selected toolchain. Completion, diagnostics and navigation depend on the configured Python language server. Formatting and linting also need their own tools, which may be installed as optional workloads or project dependencies.

For offline work, install required packages and language tools in advance, then test the full workflow without network access. Pip downloads, remote repositories and cloud services still require connectivity. Compare your setup with the current Runtimes page and the application’s release notes.

Build a setup that fits your project.

Compare the supported tools and choose a package from an official release.

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Practical development guides

Find a workflow for your environment.

Setup advice for portable projects, shared computers and language-specific toolchains.