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The term “lambda” traces its lineage to the venerable lambda calculus, a mathematical framework concocted by Alonzo Church in the 1930s. But fear not, we won’t delve into esoteric symbols and arcane rituals. Instead, let’s focus on Python’s interpretation.
In essence, a lambda function is a nameless, ephemeral function — a fleeting spark of logic that ignites and vanishes without leaving a trace. Imagine it as a post-it note: jot down a quick task, stick it on your code fridge, and discard it when done. No ceremony, no fuss.
The codes in this post are available here.
Contents
1. Anatomy of a Lambda
2. lambda vs. def
3. Practical Applications
4. When Not to Use Lambdas
1. Anatomy of a Lambda
Let us unravel the intricate threads that compose the lambda function — Python’s pocket-sized enigma. Imagine it as a bonsai tree: small, meticulously pruned, yet harboring profound wisdom.
The Silent Sorcery
Behold the incantation:
double = lambda x: x * 2
In this snippet, lambda x: x * 2
emerges — a nameless function, akin to a masked ball attendee. Its…