Farewell to Python Data Extraction Woes: Tame Nested Data with Glom
Tame nested Python data with glom. Extract & transform complex structures using declarative specs. Write cleaner, safer code today. Boost productivity.
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Have you ever written Python code like this?
To extract a deeply nested value from a dictionary or JSON data, we’re forced to write long, unwieldy chains of safety checks. This is not only error-prone but also extremely difficult to read and maintain.
If you find the above scenario utterly frustrating, then glom this is the savior you’ve been searching for.
glom is a third-party Python library that provides a function called glom, along with a series of powerful operational patterns. Its core mission is singular: to make processing nested data in Python declarative, intuitive, and safe.
“Declarative” means you only need to tell glom what you want, rather than instructing it step-by-step on how to do it, like imperative code does. This greatly enhances code conciseness and readability.
