On 3/22/2023 8:09 AM, a a wrote:
On Saturday, 18 March 2023 at 20:12:22 UTC+1, Thomas Passin wrote:
On 3/17/2023 11:52 AM, a a wrote:
On Friday, 17 March 2023 at 16:32:53 UTC+1, a a wrote:
On Friday, 17 March 2023 at 16:03:14 UTC+1, Thomas Passin wrote:
On 3/16/2023 8:07 PM, a a wrote:
Crash report:

Problem Caption:
Problem Event Name: APPCRASH
Application name: python.exe
Application version: 3.8.7150.1013
Application time signature: 5fe0df5a
Error module name: _multiarray_umath.cp38-win32.pyd
Version of the module with the error: 0.0.0.0
Time signature of the module with the error: 63dfe4cf
Exception code: c000001d
Exception offset: 000269c9
Operating system version: 6.1.7601.2.1.0.256.48
Regional Settings ID: 1045
Additional information 1: 0a9e
Additional information 2: 0a9e372d3b4ad19135b953a78882e789
Additional information 3: 0a9e
Additional information 4: 0a9e372d3b4ad19135b953a78882e789
This exception has been reported to have many causes, but one
possibility seems to be that your computer may not support an advanced
instruction set that the .pyd was compiled for. I found this one
specifically mentioned on the Internet: Advanced Vector Extensions. If
that were the case, you would either need to find a different version of
the module, or upgrade the computer/OS.

It would be worth trying to downgrade the multiarray version to an
earlier one and see if that fixes the problem.
Thank you Thomas
for your kind reply.

I am fully aware to be living on an old machine, old OS, Windows 7, 32-bit 
system
but I have visited every social chat support forum on the Internet: from Python 
to Matplotlib, Numpy, Twitter, Github.

As a newbie I am not aware how to downgrade "the multiarray version to an
earlier one

I simply tried to test Python code from


https://www.section.io/engineering-education/reading-and-processing-android-sensor-data-using-python-with-csv-read/

====
# Python program to read .csv file

import numpy as np
import matplotlib.pyplot as plt
import csv
----

"After importing the libraries, we now read the .csv file:

with open('accl1.csv', 'r') as f:
data = list(csv.reader(f, delimiter=',')) #reading csv file

====
Just read about AVE from Wikipedia

https://en.wikipedia.org/wiki/Advanced_Vector_Extensions


downloaded and run
HWiNFO
and AVE not supported, not greened out
That's too bad; you may be out of luck. It's possible that someone has
compiled the .pyd library in such a way that it does not need the
instruction set extensions. I'm sorry but I don't know how to find out
except by trying internet searches - or by downgrading to earlier
versions of Numpy hoping to find one that works and also can be used by
the other libraries/programs that need to use it.


Thank you Thomas for youre kind help.

You are the real Python PRO, you deserve Nobel Prize in Python.
:)

I operated an old Dell computer with Windows XP preinstalled
and upgraded XP to Windows 7 to get some web services to work.

Unfortunately I failed to find and install driver for video controller since 
none supported by Dell.

Visited many driver sites (Intel Driver Assistant included and more)
without any success.

So life with an old PC is not easy

I reused my 10-year-old Sony VAIO laptop (it had Windows 8, IIRC) to be a Linux machine - I got a 1T external solid state drive, set up the BIOS to boot from it, and installed Linux Mint. If you are willing to tackle Linux, this might be a good way to go. I recommend Mint for newcomers to Linux. The computer is much snappier and pleasant to use than it was under Windows.

I mostly use it as a backup computer. I had to to without my main computer for a week or so, and the old machine made a fine substitute. I even copied all my Thunderbird emails over and used email all the week without losing any messages. Actually, the keyboard on that old computer is much better than I've got on my new one, although a few keys are getting a little flaky.

I was able to compile some version of Python on it, though I forget why I needed to do that. With this setup, you could install a newer version of Python, and Numpy would work - it might get compiled during installation, but that's not a problem. It happens automatically.

If fact, I know that it works because I have Numpy working on the computer. Of course, my computer has the instruction set extensions and your does not, so who knows if can be compiled for you. But it would probably be your best bet.

Anyway, if you decide to try it out, let us know. And if you hit any problems, I might be able to help you. I'm not a Linux expert but I've installed various distributions maybe 20 times or more as virtual machines, and twice using an external drive, including running Tomcat and MySQL as services. Once you get it installed and working, and learned some of its quirks (not too bad, mostly about installing programs and configuring the desktop to be more to your liking), it's not much different from using Windows. Well, batch files are really different...

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