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 ThreadPoolExecutor
def task(n):
return n * n
with 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
