For example, # iterate from i = 0 to 3 for _ in range(0, 4: print('Hi') Run Code Output 0 1 2 3 Here, the loop runs four times. In each iteration, we have displayed Hi. Since we are not using the items of the sequence(0, 1, 2 and 4) in the loop body, it is ...
3、使用Set 在使用for循环进行比较的情况下使用set。 # Use for loops for nested lookups def test_03_v0(list_1, list_2): # Baseline version (Inefficient way) # (nested lookups using for loop) common_items = [] for item in list_1: if item in list_2: common_items.append(item) return...
Baseline: 112.135 ns per loop Improved: 68.304 ns per loop % Improvement: 39.1 % Speedup: 1.64x 3、使用Set 在使用for循环进行比较的情况下使用set。 # Use for loops for nested lookups def test_03_v0(list_1, list_2): # Baseline versi...
loop:1loop:2loop:3loop:4loop:5loop:6loop:7loop:8loop:9 需求一:还是上面的程序,但是遇到大于5的循环次数就不走了,直接跳出本次循环进入下一次循环 foriinrange(10):ifi>5:continue#不往下走了,跳出本次循环直接进入下一次循环print("Result:", i ) Result: 0 Result: 1 Result: 2 Result: 3 Resu...
3、使用Set 在使用for循环进行比较的情况下使用set。 # Use for loops for nested lookups deftest_03_v0(list_1,list_2): # Baseline version (Inefficient way) # (nested lookups using for loop) common_items=[] foriteminlist_1: ifiteminlist_2: ...
forxinrange(2,30,3): print(x) Try it Yourself » Else in For Loop Theelsekeyword in aforloop specifies a block of code to be executed when the loop is finished: Example Print all numbers from 0 to 5, and print a message when the loop has ended: ...
How to loop n number of times in Python Python provides two different types of looping statements. Here, while loop is similar to the other programming language like C/C++ and Java. Whereas, the for loop is used for two purpose. First one is to iterate over the sequence likeList,Tuple,...
, "orange"] for fruit in fruits: print(fruit)输出结果为：2、循环（Loop）循环（Loop）是在...
A for loop is faster than a while loop. To understand this you have to look into the example below. import timeit # A for loop example def for_loop(): for number in range(10000) : # Execute the below code 10000 times sum = 3+4 #print(sum) timeit.timeit(for_loop) Powered By ...
Improved: 8.697 ns per loop % Improvement: 48.6 % Speedup: 1.94x 5、代码合并 在某些情况下,直接将简单函数的代码合并到循环中可以提高代码的紧凑性和执行速度。 # Example of inefficient code# Loop that calls the is_prime function n times.defis_prime(n):ifn <=1:returnFalseforiinrange(2,int(...