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Discover how to efficiently manage repetitive library imports in Python by creating a `common` library. Make your Jupyter notebook workflow more effective and organized!
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Simplifying Your Python Workflow: How to Create a common Library for Imports

Are you tired of copying and pasting the same library imports into every new Jupyter notebook you create? If you frequently work with a set of commonly used libraries, duplicating these imports across different scripts can quickly become cumbersome. This post will guide you through the process of creating a common library that can streamline your Python workflow.

Understanding the Problem

As a Python developer using Jupyter Notebook, you likely find yourself creating multiple notebooks throughout your day for various tasks. Each time you start a new notebook, you might manually enter the same 12 libraries you always use, leading to:

Duplication: Repeatedly typing out the same imports can be a hassle.

Inconsistency: Each notebook may have slight variations in the imports due to copy-paste errors or changes made over time.

What if there was a way to consolidate these common imports into a single line? Imagine just typing:

[[See Video to Reveal this Text or Code Snippet]]

And having access to all your preferred libraries without the hassle of typing them out every time!

Creating Your common Library

The solution lies in creating a common.py module that will serve as your go-to library for imports. Here’s how you can do this:

Step 1: Create the common.py File

Open your preferred code editor or Jupyter Notebook interface.

Create a new Python file and name it common.py.

Inside common.py, organize your imports:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Expose the Imports

To use the libraries in other Python scripts without referencing them through the common namespace, you can customize your common.py file. The ideal way to do this is by using the from ... import * syntax.

Step 3: Using Your common Library

Now, in any of your notebooks or Python scripts, you simply need to import the common module like this:

[[See Video to Reveal this Text or Code Snippet]]

By doing this, you expose the entire namespace of libraries in common, allowing you to access them directly:

[[See Video to Reveal this Text or Code Snippet]]

Clarity vs. Convenience

While using from common import * can save time, it’s important to consider that it may reduce clarity in your code. Explicitly stating your imports can make your scripts easier to understand, especially for people reading your code later.

Alternative Approach: Keeping Imports Explicit

If you're concerned about code clarity, you might stick to the traditional method of listing imports. While this approach might feel repetitive, it could improve your code's readability:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Creating a common library for your frequently used imports can vastly improve your workflow in Python. By minimizing the clutter of duplicate code, you can focus more on your analysis and less on the nitty-gritty of repeatedly managing imports.

Just remember, choose the method that best balances convenience with clarity in your programming style.



Feel free to share your thoughts on this approach or any tips you may have on managing imports in your Python projects!