Can analysis be made faster using Python?
So it's not slow but not really fast either.
I have already increased the threads
The program tests and saves failures and successes and then continues testing
I see that the document with errors always grows by about one kb per second but that is not particularly fast
I thought about running the program multiple times but it only gets a little faster
It shouldn't completely overwhelm my laptop, but it still feels too slow.
Is python program
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In a standard python interpreter, this does not increase the speed in which code is processed. The GIL ensures that only one thread always performs its work at once.
You can perform several Python processes in parallel leave or switch to another base (e.g. JPython) if you want to use effective multithreading. Whether this is actually useful in your case, you can evaluate yourself.
Use asyncio to run different processes at the same time and psutil will adapt everything to my hardware.
And for the part of the firm is a common list.
Jython is only useful if I still have javascript.
As you say, I can’t understand.
This detailed information can be used to give you an accurate analysis and suggestions for solutions in a few minutes.
A profi can
Well. Then you’ll have to pay a professional. If you can.
No bullshit
Because we don’t know anything else, it’s hard to answer. regex9 has already given basic tips.
If you are enjoying experimentation, you can also use Python 3.13 with disabled GIL and activated JIT. Possible unpredictable behaviour including:-D.
Not helpful
If you think that an accelerated python will not help you, be it.
Then you have to ask back to the tearboard and the actual analysis.
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