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How much slower is python than java

Jun 12, 2019 am 11:39 AM
python

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.

How much slower is python than java

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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