Handling Multi-Line Strings in Python: A Primer for Deep Learning Enthusiasts

Mastering the Art of Working with Long Text Data in Python for NLP Tasks

Tânia Frazão, M.C.S., D.V.M.
The ABCs of AI

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An artificial intelligence generated image depicting a snake with the coloration and pattern resembling a ripe banana, coiled around a wooden branch. The snake’s body is a bright yellow hue with subtle white stripes, mimicking the appearance of a banana’s skin. The image was generated using the ImageFX AI tool and does not represent a real photograph of a snake species.
A python banana ball snake holding “strings”. Photorealistic image generated by AI using ImageFX.

As a deep learning enthusiast, you often come across scenarios where you need to work with long text data, such as training data for natural language processing (NLP) tasks or documentation for your deep learning projects.

In Python, handling multi-line strings can be a bit tricky, especially when it comes to maintaining readability and proper syntax highlighting in your code editor. In this article, we’ll explore how to effectively handle multi-line strings in Python and discuss its importance in the context of deep learning.

Handling Multi-Line Strings

In Python, you can define multi-line strings using triple quotes, either triple double quotes (`”””`) or triple single quotes (`’’’`). This allows you to write a string that spans multiple lines without the need for explicit line breaks or string concatenation.

#By using triple quotes, you can maintain the readability of your code and make it easier to work with long text data.

long_string = """
This is a long string that spans
multiple lines. You can write it
across several lines, and your code editor
will highlight it…

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Tânia Frazão, M.C.S., D.V.M.
The ABCs of AI

Computer scientist &Vet.(DVM) passionate about animals, the potential of generative AI and Python. Shares insights on pet health and tech.