How to create your own library in Python
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
Creating your own library in Python is a great way to organize and reuse your code. Here are the basic steps to create your own library in Python:
- Create a new directory for your library and give it a meaningful name.
- Inside the directory, create a file named
__init__.py
. This file tells Python that this directory should be considered a Python package. - Create a new Python file for each module you want to include in your library. Each file should have a distinct name and should contain functions or classes that are related to each other.
- In the
__init__.py
file, you can import the modules you created and expose the functions or classes you want to make available to other scripts. - To use your library in other scripts, you can import it using the name of the directory you created.
Here is an example, let's say you want to create a library named mylib
which contains two modules module1
and module2
:
mylib/
__init__.py
module1.py
module2.py
In the __init__.py
file
from .module1 import func1
from .module2 import func2
In your script or other library, you can use it by importing like this:
from mylib import func1, func2
It's recommended to use some best practices and conventions when creating your own library, such as using good documentation, testing, and following PEP8 style guidelines.
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
Related Articles
Continue your learning journey with these related topics
Master Data Science in Days, Not Months 🚀
Skip the theoretical rabbit holes. Get practical data science skills delivered in bite-sized lessons – Approach used by real data scientist. Not bookworms. 📚