This guide explains pkgutil.iter_modules() 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
pkgutil.iter_modules enumerates modules discoverable by package importers. It is useful for simple module inventory but does not inspect all possible runtime import mechanisms.
When and Why to Use It
The following example focuses on a practical use of pkgutil.iter_modules() Function: Usage and Examples.
Step-by-Step Example
import pkgutil
module_names = {module.name for module in pkgutil.iter_modules()}
print(isinstance(module_names, set))Understanding the Example
The program collects the module names visible through the iterator; the concrete list depends on installed packages and search paths.
Expected Output
TrueImportant Behavior and Edge Cases
Scanning an environment does not guarantee that every module imports correctly or safely; avoid importing arbitrary discoveries.
Try It Yourself
List only modules whose names begin with a prefix such as xml.
Common Beginner Mistakes
- Scanning an environment does not guarantee that every module imports correctly or safely; avoid importing arbitrary discoveries.
- 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
- pkgutil.iter_modules enumerates modules discoverable by package importers.
- The program collects the module names visible through the iterator; the concrete list depends on installed packages and search paths.
- Apply the technique deliberately, checking its documented input requirements and failure behavior before integrating it into a larger project.