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Everytime you attempt to import your code from a special folder, you throw in an empty __init__.py
. It has nearly change into a muscle reminiscence for many Python builders — learners or wizards. However do we actually know __init__.py
?
On this weblog put up, let’s dive into how __init__.py
works and 3 ways a non-empty __init__.py
helps us as Python builders.
What’s __init__.py
?
__init__.py
is a Python file that tells the Python interpreter that the folder needs to be handled as a bundle.
Not like compiled languages resembling C & C++, the place dependencies should be pre-compiled earlier than getting used, Python’s interpreter fetches your dependencies on the fly. To sign to Python {that a} folder incorporates code that can be used elsewhere is thru __init__.py
.
So, consider __init__.py
as a gatekeeper. It turns your folder into an importable Python bundle.
However __init__.py
can be greater than that. Once you create a category in Python, you’ll typically must create an __init__
operate too. That may outline how an object needs to be constructed and is the very first thing to be executed when an object of the category is created. Equally, __init__.py
is the constructor of a Python bundle. It is going to get executed first every time the bundle will get imported. An empty __init__.py
means an empty __init__
constructor methodology to your Python bundle. It’s high-quality, however it doesn’t imply we will’t do extra with it.
Use __init__.py with Warning
Since __init__.py
is the constructor of a Python bundle, we must be cautious about the place we put __init__.py
.
If we’ve a folder named datetime
the place we’ve some customized utility features for processing date format:
# ./datetime/utils.pydef increment_date(date: int, increment: int) -> int:
"""Increate timestamp by milliseconds"""
return date + increment
We then add a __init__.py
in order that we will import the code in our important.py
:
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