Ask question for python compilerim korean I dont speak english well

When it comes to solving a Python question, there are multiple ways to approach it. In this article, we will explore three different solutions to the given problem and evaluate which one is the most efficient.

Solution 1: Using the split() method

input_string = "Ask question for python compilerim korean I dont speak english well"
words = input_string.split()
output = " ".join(words[::-1])
print(output)

In this solution, we use the split() method to split the input string into a list of words. Then, we reverse the order of the words using the slicing technique [::-1]. Finally, we join the reversed words back into a string using the join() method and print the output.

Solution 2: Using the reversed() function

input_string = "Ask question for python compilerim korean I dont speak english well"
words = input_string.split()
output = " ".join(reversed(words))
print(output)

In this solution, we again split the input string into a list of words. However, instead of using slicing to reverse the order, we utilize the reversed() function. This function returns an iterator that yields the items in reverse order. We then join the reversed words back into a string and print the output.

Solution 3: Using a loop

input_string = "Ask question for python compilerim korean I dont speak english well"
words = input_string.split()
output = ""
for word in words:
    output = word + " " + output
print(output)

In this solution, we split the input string into a list of words as before. Then, we iterate over each word in the list and concatenate it with the current output string, adding a space between each word. This effectively reverses the order of the words. Finally, we print the output.

After evaluating the three solutions, it is clear that Solution 1 using the split() method and slicing technique is the most efficient. It achieves the desired output in a concise and straightforward manner. However, the choice of solution may vary depending on the specific requirements and constraints of the problem at hand.

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