


Python Lambda Expression Practical Case: Playing with Functional Programming
Lambda expression is a powerful tool in python that allows you to define anonymous functions without using the def keyword . An anonymous function is a function without a name, often used to quickly define a simple function where a function is needed. The syntax of a lambda expression is very simple, consisting of the lambda keyword followed by a parameter list and a colon (:), and then an expression. For example, the following Lambda expression calculates the sum of two numbers:
lambda x, y: x + y
result = (lambda x, y: x + y)(1, 2) print(result)# 输出:3
sort the elements in a list:
numbers = [1, 3, 2, 4, 5] sorted_numbers = sorted(numbers, key=lambda x: x) print(sorted_numbers)# 输出:[1, 2, 3, 4, 5]
def fibonacci(n): return (lambda x: 0 if x < 2 else fibonacci(x - 1) + fibonacci(x - 2))(n)
for i in range(10): print(fibonacci(i))# 输出:0, 1, 1, 2, 3, 5, 8, 13, 21, 34
Python, which can significantly improve the readability and maintainability of the code. Through this tutorial, you have mastered the basic usage of Lambda expressions and some common use cases. Now you can apply Lambda expressions to your projects to improve the quality and efficiency of your code.
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