Python Features Data Scientists Often Overlook, But Shouldn’t

Anudeep Mahavadi

Hidden Python Gems: Discover overlooked Python features every data scientist should master in 2025.

List Comprehensions: Write cleaner, faster code with Python’s concise list comprehensions.

Enumerate Function: Track indexes effortlessly while looping with enumerate().

Zip Function: Combine multiple lists or datasets easily with Python’s zip().

Generators & Yield: Save memory and process large datasets using Python generators.

DefaultDict: Simplify dictionary operations and avoid key errors with defaultdict.

Context Managers: Handle resources like files safely using with statements in Python.

Dataclasses: Reduce boilerplate code for structured data with Python dataclasses.

F-Strings: Format strings cleanly and efficiently using Python’s modern f-strings.

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