What is lambda function in Python and why do we need it?

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A lambda function in Python is an anonymous function defined using the lambda keyword. It is a concise way to create functions without a name, typically used for short, simple operations. Syntax lambda arguments: expression Arguments: Input parameters to the function. Expression: A single-line...
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A lambda function in Python is an anonymous function defined using the lambda keyword. It is a concise way to create functions without a name, typically used for short, simple operations. Syntax lambda arguments: expression Arguments: Input parameters to the function. Expression: A single-line operation or computation performed. Example # Lambda to add two numbers add = lambda x, y: x + y print(add(3, 5)) # Output: 8 Why Do We Need Lambda Functions? 1. Concise: Useful for short, one-time functions without defining them explicitly. 2. Inline Use: Commonly used as arguments for higher-order functions like map(), filter(), and sorted(). 3. Improves Readability: Reduces boilerplate code when writing simple operations. Common Use Cases 1. With map(): nums = [1, 2, 3] squares = map(lambda x: x**2, nums) print(list(squares)) # Output: [1, 4, 9] 2. With filter(): nums = [1, 2, 3, 4] evens = filter(lambda x: x % 2 == 0, nums) print(list(evens)) # Output: [2, 4] 3. With sorted(): data = [('apple', 2), ('banana', 1)] sorted_data = sorted(data, key=lambda x: x[1]) print(sorted_data) # Output: [('banana', 1), ('apple', 2)] While lambda functions are useful for simplicity, use named functions for complex logic to enhance readability. read less
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a keyword in Python for defining the anonymous function.
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