How can I list all imported modules in my Python script?

Enumerating Imported Modules in Python

When working with Python scripts, it often becomes necessary to determine which modules have been imported. This information can be useful for debugging, module dependency analysis, and more. This article will explore effective approaches for listing all imported modules within a Python script.

To obtain a comprehensive list of imported modules, including those imported by other imported modules, the sys.modules dictionary can be employed. This dictionary contains key-value pairs where the keys are module names and the values are modules themselves. By iterating through the keys of sys.modules, all imported modules can be identified:

import sys
for module_name in sys.modules.keys():
    print(module_name)

For a more precise approach that focuses solely on modules imported within the current module, the globals() function can be utilized. This function returns a dictionary containing all the global variables defined within the module. By filtering this dictionary for values that are instances of the types.ModuleType, only the imported modules will be retained:

import types
def imports():
    for name, val in globals().items():
        if isinstance(val, types.ModuleType):
            yield val.__name__

This method, however, has limitations. It excludes modules imported using local or non-module import statements, such as from x import y. Additionally, it provides the original module name even if an alias was used during the import.

By leveraging the provided techniques, developers can efficiently enumerate all imported modules within their Python scripts, enhancing their understanding of module dependencies and overall script functionality.

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