Python: External Libraries You Can’t Ignore - Part 3

Uncommon But Extremely Useful

Hi, and welcome to another installment of my exploration of Python’s vast and powerful library ecosystem!

(Incase if you have missed my previous article — Part 2)

In this segment, I will continue to share some of the coolest Python libraries which have become essential in my coding journey and that I think you might don’t know about them.

Let’s dive in –

1. langextract

Used for extracting structured data (entities, attributes, relations, etc.) from unstructured text using large language models.

from langextract import Extractor


# Create an extractor with a simple pattern
extractor = Extractor(patterns={
    "date": r"\b\d{4}-\d{2}-\d{2}\b",
    "id": r"BR\d+"
})

text = """
Report generated 2025-09-10 for case BR1122.
Follow up scheduled 2025-09-09 for case BR3344.
"""

results = extractor.extract(text)

for item in results:
    print(item)


# o/p -
# {'type': 'date', 'value': '2025-09-10', 'span': (18, 28)}
# {'type': 'id', 'value': 'BR1122', 'span': (38, 44)}
# {'type': 'date', 'value': '2025-09-09', 'span': (69, 79)}
# {'type': 'id', 'value': 'BR3344', 'span': (89, 95)}

2. FlashText - Fast Keyword…