DATASCIENCEQ Telegram 1232
Interview Question

Explain the concept of generators in Python and how they differ from regular iterators in terms of memory efficiency.

Generators are functions that use yield to produce a sequence of values lazily (e.g., def gen(): yield 1; yield 2), creating an iterator that generates items on-the-fly without storing the entire sequence in memory, unlike regular iterators or lists which can consume more RAM for large datasets—ideal for processing big data streams efficiently.

tags: #interview #python #generators #memory

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Interview Question

Explain the concept of generators in Python and how they differ from regular iterators in terms of memory efficiency.

Generators are functions that use yield to produce a sequence of values lazily (e.g., def gen(): yield 1; yield 2), creating an iterator that generates items on-the-fly without storing the entire sequence in memory, unlike regular iterators or lists which can consume more RAM for large datasets—ideal for processing big data streams efficiently.

tags: #interview #python #generators #memory

@DataScienceQ ⭐️

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