


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 + yThis Lambda expression can be used like a normal function, for example:
result = (lambda x, y: x + y)(1, 2) print(result)# 输出:3You can also pass Lambda expressions to other functions as parameters. For example, the following code uses a Lambda expression to
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]Lambda expressions can also be used to create generator functions. A generator function is a special type of function that generates a sequence of values. For example, the following generator function uses a Lambda expression to generate the Fibonacci sequence:
def fibonacci(n): return (lambda x: 0 if x < 2 else fibonacci(x - 1) + fibonacci(x - 2))(n)This generator function can be used like a normal function, for example:
for i in range(10): print(fibonacci(i))# 输出:0, 1, 1, 2, 3, 5, 8, 13, 21, 34Lambda expression is a very powerful tool in
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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