Python Data Science Jobs & Interviews

❔ 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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439 viewsedited  Oct 24 at 13:43

❔ 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 ⭐️