tasks-py

You can automate project tasks with Python by creating a zero-dependency `tasks.py` file. Define custom automation functions prefixed with `do_` to handle builds, tests, and deployments using only the standard library.

The best way to run shell commands from a Python task runner is using a `tasks.py` file with built-in helpers. These helpers execute shell commands directly from your `do_` prefixed functions while managing error handling and directory scoping.

No, you do not need external build tools for Python project automation. This approach uses a self-contained `tasks.py` file utilizing standard library imports, eliminating the need for complex build scripts or external task runner dependencies.

Yes, you can run tests in subdirectories using a `tasks.py` file. The task runner supports managing common project patterns like scoping directory changes and executing test suites directly from your defined Python functions.

You can automate publishing to PyPI by defining a task within your `tasks.py` file. Create a `do_` prefixed function that utilizes the built-in shell command helpers to execute the necessary publishing commands.

A limitation of a zero-dependency Python task runner is that it relies solely on standard library imports. It avoids external build tools but requires manual implementation of advanced patterns not covered by the built-in shell command helpers.