This guide explains runpy.run_path() function: usage and examples through a focused Python example. You will learn the behavior to expect, why it matters in a real program, and how to recognize the common mistakes before applying it in your own project.
What You Will Learn
runpy.run_path executes a Python source file from a path and returns its resulting globals. It is helpful for controlled scripts but is not a sandbox.
When and Why to Use It
The following example focuses on a practical use of runpy.run_path() Function: Usage and Examples.
Step-by-Step Example
import runpy
from pathlib import Path
from tempfile import TemporaryDirectory
with TemporaryDirectory() as directory:
script_path = Path(directory) / "sample_script.py"
script_path.write_text("result = 6 * 7\n", encoding="utf-8")
resulting_globals = runpy.run_path(str(script_path))
print(resulting_globals["result"])
Understanding the Example
The temporary script assigns result=42, and run_path exposes that name in its returned dictionary.
Expected Output
42
Important Behavior and Edge Cases
Only execute trusted script paths; executing a file through runpy grants it normal Python process privileges.
Try It Yourself
Create a script that calculates an area and retrieve its result from the returned namespace.
Common Beginner Mistakes
- Only execute trusted script paths; executing a file through runpy grants it normal Python process privileges.
- Assuming that an import has no initialization effects or that every environment resolves modules in the same way.
- Skipping the practice step and assuming the example covers every input. Test at least one normal case and one edge case relevant to this topic.
Key Takeaways
- runpy.run_path executes a Python source file from a path and returns its resulting globals.
- The temporary script assigns result=42, and run_path exposes that name in its returned dictionary.
- Apply the technique deliberately, checking its documented input requirements and failure behavior before integrating it into a larger project.