This content originally appeared on flaviocopes.com and was authored by flaviocopes.com
Every Python file is a module.
You can import a module from other files, and that’s the base of any program of moderate complexity, as it promotes a sensible organization and code reuse.
In the typical Python program, one file acts as the entry point. The other files are modules and expose functions that we can call from other files.
The file dog.py
contains this code:
def bark():
print('WOF!')
We can import this function from another file using import
, and once we do, we can reference the function using the dot notation, dog.bark()
:
import dog
dog.bark()
Or, we can use the from .. import
syntax and call the function directly:
from dog import bark
bark()
The first strategy allows us to load everything defined in a file.
The second strategy lets us pick the things we need.
Those modules are specific to your program, and importing depends on the location of the file in the filesystem.
Suppose you put dog.py
in a lib
subfolder.
In that folder, you need to create an empty file named __init__.py
. This tells Python the folder contains modules.
Now you can choose, you can import dog
from lib
:
from lib import dog
dog.bark()
or you can reference the dog
module specific function importing from lib.dog
:
from lib.dog import bark
bark()
This content originally appeared on flaviocopes.com and was authored by flaviocopes.com
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flaviocopes.com | Sciencx (2020-12-25T05:00:00+00:00) Python Modules. Retrieved from https://www.scien.cx/2020/12/25/python-modules/
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