Path: ...!feeder3.eternal-september.org!news.eternal-september.org!eternal-september.org!.POSTED!not-for-mail From: Lawrence D'Oliveiro Newsgroups: alt.comp.os.windows-11,comp.os.linux.advocacy Subject: Re: The problem with not owning the software Date: Tue, 31 Dec 2024 00:56:30 -0000 (UTC) Organization: A noiseless patient Spider Lines: 21 Message-ID: References: <9OCcnRW7grqkbPT6nZ2dnZfqnPUAAAAA@earthlink.com> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Injection-Date: Tue, 31 Dec 2024 01:56:31 +0100 (CET) Injection-Info: dont-email.me; posting-host="41fdacfd7af50925eaa1291753caf57e"; logging-data="1985399"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX1/hc/1OwM+6lC6jSuTQfLUs" User-Agent: Pan/0.161 (Chasiv Yar; ) Cancel-Lock: sha1:+NeQMz/rRBgsGMI0p3cwhkVkU+s= Bytes: 2531 On Mon, 30 Dec 2024 13:01:13 -0500, -hh wrote: > On 12/29/24 11:52 PM, Lawrence D'Oliveiro wrote: > >> How much data was involved, really? I suspect a more sensible app would >> deal with the same data much more efficiently and easily. > > There was a pretty modest chunk of data ... maybe just 1000 unique data > points? > > What made it large & computationally intensive was that the dataset was > routed iteratively through a ~dozen different "Monte Carlo" statistical > exercises and filters to identify & glean signal from noise. I’m sure something could be whipped up in Python with NumPy/Pandas/ Matplotlib etc that would go through the same operations much more quickly and efficiently. Microsoft is even offering access to these Python toolkits to Excel users now -- at a cost. You know -- charging for something that the users could bypass Microsoft and access for free, only they’re too dumb to realize it.