Jan-11-2019, 12:35 PM
Hello Friends,
I am using a nested loop first loop iterate for 50,000 times and second loop iterate for 500 times if i use normal approach
i.e.
i am using this code but not very much fast.
I am using a nested loop first loop iterate for 50,000 times and second loop iterate for 500 times if i use normal approach
i.e.
for i in range(0,50000): for j in range(0,250) print(i,j)It is taking huge time so can any one tell me how can i execute this nested for loop faster? can you please share the code as well
i am using this code but not very much fast.
import time from threading import Thread class GetMyThread(Thread): def __init__(self, start, end, start2, end2): self.ix = start self.iy= end self.jx = start2 self.jy = end2 super(GetMyThread, self).__init__() for i in range(self.ix, self.iy): for j in range(0, len(overallKeywordsFrequency)): if(overallKeywordsFrequency[j] in (df.iloc[i]['Keywords'].lower().strip())): matrix[i,j] = 1 def get_responses(): start = time.time() threads = [] num_splits = 50 split_size = len(df)//num_splits split_size2 = len(overallKeywordsFrequency)//num_splits for i in range(num_splits): start = i * split_size start2 = i * split_size2 end = len(df) if i+1 == num_splits else (i+1) * split_size end2 = len(overallKeywordsFrequency) if i+1 == num_splits else (i+1) * split_size2 t = GetMyThread(start, end, start2, end2) threads.append(t) t.start() for t in threads: t.join() get_responses()