在Python中，lambda函数因其简洁性常用于简单的、即用即抛的场景，尤其是配合高阶函数如map()、filter()、sorted()等使用。下面是10个常用的lambda函数示例：

加倍每个元素:Python1double = lambda x: x * 2

2numbers = [1, 2, 3, 4]

3doubled = list(map(double, numbers))字符串转大写:Python1to_upper = lambda s: s.upper()

2texts = ["hello", "world"]

3uppercase_texts = list(map(to_upper, texts))计算平方:Python1square = lambda x: x ** 2

2squares = list(map(square, range(5)))筛选偶数:Python1is_even = lambda x: x % 2 == 0

2even_numbers = list(filter(is_even, range(10)))按长度排序字符串列表:Python1sort_by_length = lambda s: len(s)

2sorted_texts = sorted(["apple", "fig", "banana"], key=sort_by_length)计算两个数之和:Python1add = lambda x, y: x + y

2sum_of_two = add(3, 4)取绝对值:Python1absolute_value = lambda x: abs(x)

2abs_values = list(map(absolute_value, [-2, -1, 0, 1, 2]))判断素数:Python1is_prime = lambda n: all(n % i for i in range(2, int(n**0.5) + 1)) and n > 1

2primes = list(filter(is_prime, range(2, 20)))字符串拼接:Python1concat = lambda x, y: x + y

2combined = list(map(concat, ["Hello ", "World ", "from "], ["Python!", "Lambda.", ""]))计算平均值:Python1avg = lambda iterable: sum(iterable) / len(iterable) if iterable else 0

2numbers_avg = avg([10, 20, 30])

这些示例展示了lambda函数在处理数据、执行简单计算或作为其他函数参数时的灵活性和便捷性。不过，记住对于更复杂的逻辑，最好使用def定义的常规函数以保持代码的可读性和维护性。