python基础和redis

1. Map函数

2. filter函数

numbers = generate_numbers()
filtered_numbers = filter(lambda x: x % 2 == 0, numbers)
for _ in range(5):print(next(filtered_numbers))  # 输出: 0 2 4 6 8

3. filter map 和 reduce

4. picking and unpicking

5. python 没有函数的重载， *args, **kwargs来实现同样的功能

6. init new

7. 魔术方法

8. python编码规范

9. python线程池

from concurrent.futures import ThreadPoolExecutordef task(n):return n * nwith ThreadPoolExecutor(max_workers=5) as executor:future1 = executor.submit(task, 1)future2 = executor.submit(task, 2)future3 = executor.submit(task, 3)result1 = future1.result()result2 = future2.result()result3 = future3.result()print(result1, result2, result3)

10. 匿名函数

def multiply():return [lambda x, i=i: i * x for i in range(4)]
print([m(10) for m in multiply()])
[0, 10, 20, 30]def multiply():return [lambda x: i * x for i in range(4)]
[30, 30, 30, 30]

11、索引下推

12. redis数据类型

13.