This is a python code which gives the list of loaded packages in the current environment. *Source:* stack overflow, link given in the code.

list_of_loaded_modules.py

# show versions of packages
# adopted from https://stackoverflow.com/questions/40428931/package-for-listing-version-of-packages-used-in-a-jupyter-notebook
import sys
import pkg_resources
import types

def get_imports():
    for name, val in globals().items():
        if isinstance(val, types.ModuleType):
            # Split ensures you get root package, 
            # not just imported function
            name = val.__name__.split(".")[0]
        elif isinstance(val, type):
            name = val.__module__.split(".")[0]
        # Some packages are weird and have different
        # imported names vs. system/pip names. Unfortunately,
        # there is no systematic way to get pip names from
        # a package's imported name. You'll have to add
        # exceptions to this list manually!
        poorly_named_packages = {
            "PIL": "Pillow",
            "sklearn": "scikit-learn"
        }
        if name in poorly_named_packages.keys():
            name = poorly_named_packages[name]
        yield name.lower()

imports = list(set(get_imports()))

# The only way I found to get the version of the root package
# from only the name of the package is to cross-check the names 
# of installed packages vs. imported packages
modules = []
for m in sys.builtin_module_names:
    if m.lower() in imports and m !='builtins':
        # modules.append((m,'Python BuiltIn'))
        imports.remove(m.lower())

for m in pkg_resources.working_set:
    if m.project_name.lower() in imports and m.project_name!="pip":
        modules.append((m.project_name, m.version))
        imports.remove(m.project_name.lower())

for r in modules:
    print("{}=={}".format(*r))