Everyone knows that the biggest shortcoming of Python is poor performance. There is no specific data on the Internet about how bad it is. I did a test today.
First of all, let me state that this simple test is just a time-consuming comparison of array creation and statistics. I thought that array operations were Python’s strength, and there shouldn’t be much difference. But the results are shocking: Python takes more than 14 times to create an array than Java, and statistics takes more than 24 times as long as Java.
Hardware environment:
Win8.1 64-bit, i5 4670K ultra to 4.2GHZ, memory 8G
Software:
python 3.4, JDK 1.6
Phton:
import time c_rows=10000 c_cols=10000 lvStart=time.time() #print(lvStart) # 建立 [10000][10000]的整数阵列 lvArr=[[] for row in range(1,c_rows+1,1)] lvRows=len(lvArr) for row in range(0,lvRows,1): lvArr[row]=[col for col in range(1,c_cols+1,1)] lvEnd=time.time() print("Create lvArray Use:%f" %((lvEnd-lvStart)*1000)) lvStart=time.time() lvSum=sum(list(map(sum,lvArr))) lvEnd=time.time() print("lvArray summary is :%d" %(lvSum)) print("Calculate lvArray Use:%f" %((lvEnd-lvStart)*1000))
Result:
Create lvArray Use:3654.559135 lvArray summary is :500050000000 Calculate lvArray Use:962.199926 [Finished in 6.3s]
========
JAVA:
public class Test { public static void main(String[] args) { long lvStart = System.currentTimeMillis(); int[][] lvArr = new int[10000][10000]; for (int row = 0; row < lvArr.length; row++) { for (int col = 0; col < lvArr[row].length; col++) { lvArr[row][col] = col + 1; } } long lvEnd = System.currentTimeMillis(); System.out.println(String.format("Create lvArray Use:%d", lvEnd - lvStart)); lvStart = System.currentTimeMillis(); long lvSum = 0; for (int row = 0; row < lvArr.length; row++) { for (int col = 0; col < lvArr[row].length; col++) { lvSum += lvArr[row][col]; } } lvEnd = System.currentTimeMillis(); System.out.println(String.format("lvArray summary is :%d", lvSum)); System.out.println(String.format("Calculate lvArray Use:%d", lvEnd-lvStart)); } }
Result:
Create lvArray Use:257 lvArray summary is :500050000000 Calculate lvArray Use:39
I originally thought that Python would use parallel computing for list and array method operations, but it didn’t, which feels like a pity.
I won’t compare these hard guys like C/Delphi, they will definitely disappear in seconds.
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