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Groups > comp.lang.python > #197627
| From | rbowman <bowman@montana.com> |
|---|---|
| Newsgroups | comp.os.linux.misc, alt.folklore.computers, comp.lang.python |
| Subject | Re: Python |
| Date | 2025-12-18 19:22 +0000 |
| Message-ID | <mqj2k0Fe57sU2@mid.individual.net> (permalink) |
| References | (3 earlier) <fsidnRnSK9Uz7d70nZ2dnZfqnPednZ2d@giganews.com> <10hvsd2$11k4$2@gal.iecc.com> <fsidnRXSK9VR4d70nZ2dnZfqnPednZ2d@giganews.com> <mqhmp5F6rs6U3@mid.individual.net> <fsidnRPSK9UWVd70nZ2dnZfqnPednZ2d@giganews.com> |
Cross-posted to 3 groups.
On Thu, 18 Dec 2025 04:25:35 -0500, c186282 wrote: > But isn't && and || more better ? If the > meaning is more obscure then it MUST be better ! Perfectly obvious. BTW any language that can't do bit operations should be drowned at birth. > 'R' ??? You must have some very special needs ! https://www.anaconda.com/blog/python-vs-r-data-science-ai-workflows The article is biased but R at one time was more popular for machine learning. Python caught up rapidly. One of the problems with R is a sort of quirky syntax compared to most languages. With Python you can use TensorFlow and even if you don't know much about ML it looks like Python. Both are interpreted so aren't the speediest languages. R originally had an edge but as Python became more popular for ML packages like numpy were optimized. Note: I draw a distinction between ML and LLMs. All the hype is for LLMs and I'm not sure the balloon won't burst. ML is the poor relation but I think it has more real value to offer in many domains.
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Re: Python The Natural Philosopher <tnp@invalid.invalid> - 2026-03-04 22:20 +0000
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Re: Python "Carlos E.R." <robin_listas@es.invalid> - 2025-12-20 12:38 +0100
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Re: Python Lawrence D’Oliveiro <ldo@nz.invalid> - 2025-12-17 22:11 +0000
Re: Python c186282 <c186282@nnada.net> - 2025-12-17 22:18 -0500
Re: Python rbowman <bowman@montana.com> - 2025-12-18 07:07 +0000
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Re: Python rbowman <bowman@montana.com> - 2025-12-18 00:52 +0000
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Re: Python c186282 <c186282@nnada.net> - 2025-12-20 04:01 -0500
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