<ul><li>Python developers often rely on list comprehensions, but they can slow down the code and consume a lot of memory.</li><li>Generator expressions offer a more memory-efficient solution by yielding one value at a time on demand, leading to a constant, tiny memory footprint.</li><li>While generator expressions are useful for streaming data, passing into built-in functions like sum(), max(), and min(), and chaining multiple operations without storing intermediate lists, they are not suitable for reuse of values or random access.</li><li>Using generator expressions can optimize code for speed, memory efficiency, and cleaner, more Pythonic syntax, making it a valuable tool in Python development.</li></ul>

✨ Why Python List Comprehensions Are Slowing You Down — And What To Use Instead

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