What are lambda functions in Python?
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Lambda functions in Python are small, anonymous functions defined using the keyword lambda instead of the usual def. They are often called inline functions because they are typically written in a single line and don’t require a formal function definition.
🔑 Key Characteristics
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Anonymous – They don’t need a name (though they can be assigned to one).
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Single expression – They can only contain one expression, which is evaluated and returned.
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Lightweight – Best used for short, simple operations where defining a full function would be unnecessary.
Anonymous – They don’t need a name (though they can be assigned to one).
Single expression – They can only contain one expression, which is evaluated and returned.
Lightweight – Best used for short, simple operations where defining a full function would be unnecessary.
General Syntax
Examples (conceptual, not executable here):
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lambda x: x * 2 → returns a function that doubles its input.
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lambda x, y: x + y → returns a function that adds two numbers.
lambda x: x * 2 → returns a function that doubles its input.
lambda x, y: x + y → returns a function that adds two numbers.
Common Use Cases
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With built-in functions like map(), filter(), and reduce()
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Example: Using map with a lambda to apply a transformation to each element in a list.
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Sorting
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Providing custom sort keys in sorted() using a lambda.
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Quick, throwaway functions
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When you only need a function once and don’t want to formally define it.
With built-in functions like map(), filter(), and reduce()
-
Example: Using
mapwith a lambda to apply a transformation to each element in a list.
Sorting
-
Providing custom sort keys in
sorted()using a lambda.
Quick, throwaway functions
-
When you only need a function once and don’t want to formally define it.
✅ In summary:
Lambda functions in Python are short, anonymous functions used for quick operations. They are especially useful in functional programming patterns and when working with functions like map(), filter(), and sorted() where defining a full function would be overkill.
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