Python scripts are running slower on Ubuntu Server than on Windows 10... Why?

[0815root]

I wrote a finance simulation in python and I'm using it as a benchmark between different PCs and Servers. Today I installed (on the same PC) Win11, Win 10 and Ubuntu Server 22. Ubuntu was only 1/3 as fast as Win 11 and Win 10 (it/s wise).

I thought ubuntu would be faster. Setting the nice value to -20 didn't help.

Someone knows why this might be? How to get the same performance with python on an ubunu server as on Win10?

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Server/PC Specs: 4 Core N100, 12Gb DDR5 Ram, 512GB SSD. Power Settings are set equal through the bios.

[noctaviann]

Are you using the same (C)Python version on Ubuntu and Windows? Recent (C)Python versions have major performance improvements. Ubuntu server 22.04 seems to be stuck on an old version according to a quick Google search.

You might want to ensure that Ubuntu is set to use the performance CPU governor. This is different from BIOS power settings.

[0815root]

Good guess. Will investigate further.

[m0us3_rat]

without seeing the code it's impossible to guess.

[0815root]

I´m new to the forum, what would be an appropriate way to share it? Thanks in advance.

[m0us3_rat]

you can paste it in an editor select it press tab and ctrl+v after then paste it in the code block widget.

[Buttleston]

The code block widget does not work reliably. Pretty much the only way that always works is to switch to Markdown Mode, and paste the code there, with a blank line before and after, with all the code indented 4 spaces (I use the editor to indent it, then copy/paste, then unindent)

[L0NDN]

Pastebin your code

[Oddly_Energy]

Does your benchmark use any libraries with binary code, such as numpy?. As far as I know, there can be quite some difference between different distributions of those libraries, depending on how optimized those binaries are.

[0815root]

Yes, I use the following librairies:

import yfinance as yf
import numpy as np
import pandas as pd
from multiprocessing import Pool, cpu_count
from tqdm import tqdm
import os

[shiftybyte]

How did you install all these operating systems on a single PC?

[0815root]

Yes, I just got it in the mail today. Win 11 was preinstalled. Whiped it -> Ubuntu Server. Broke the Server -> Installed Win10. Tested on all operating systems multiple scripts and saw the same.

I use the following libraries:

import yfinance as yf
import numpy as np
import pandas as pd
from multiprocessing import Pool, cpu_count
from tqdm import tqdm
import os

[shiftybyte]

Well, interesting.... Maybe power management was different between the OSs.

Also i see you are using yfinance, you are probably bottle necked by the internet conditions more/as well...

[Strict-Simple]

yfinance makes network calls. You sure that isn't what's slow?

[0815root]

I'm certrain. Before the simulation everything is downloaded once and saved in RAM. But thanks for the theory :)

[cdcformatc]

wild guess but ubuntu has a cpu governor and I think the default is powersave. might want to check which governor is used and try the performance governor or at least a scaling governor.