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NNTP-Posting-Date: Sat, 08 Jun 2024 21:51:36 +0000
Subject: Re: Languages
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From: % <pursent100@gmail.com>
Date: Sat, 8 Jun 2024 14:51:35 -0700
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vallor wrote:
> On Sat, 08 Jun 2024 17:32:14 -0400, Joel <joelcrump@gmail.com> wrote in
> <2ej96j1mbvgiok4q5c57vdlo94itpfu5dt@4ax.com>:
> 
>> rbowman <bowman@montana.com> wrote:
>>
>>>>>> Free hint:  don't use something you're not into using.  What little
>>>>>> I've seen of Python seemed like a child's toy, but guess what, I
>>>>>> didn't explore further.  Relax, smoke a doobie, dude.
>>>>>
>>>>> You should dig a little deeper.
>>>>
>>>> To do what?
>>>
>>> I have no idea what you want to do with a computer. Do you do data
>>> analysis? Python with pandas, numpy, and related modules is overtaking R
>>> in that field. The python implementations are usually faster than R which
>>> says something about R's lack of performance.
>>>
>>> Machine learning? PyTorch and TensorFlow offer two approaches. Create a
>>> desktop GUI applcation? I prefer Pyside6, which is a Qt binding, but there
>>> are other alternatives including Tkinter.  Web application? Django, Flask,
>>> and FastAPI offer different approaches and degrees of opinionation. Work
>>> with microcontrollers using the RP2040 chip. MicroPython and CircuitPython
>>> make rapid development possible.  Like comics? I have a script that gets
>>> the ones I'm interested in from gocomics.  Music? I've got one that
>>> queries the itunes data base for artist or song information. Databases?
>>> Pick your poison.
>>>
>>> So, what do you want to do? Of course you can do all of the above with C,
>>> C++, or another language but you may be writing more code and doing more
>>> debugging. If the Python prototype is too slow you can rewrite it. For
>>> example I did the itunes thing in both Python and C#.NET to test the .NET
>>> SDK on Linux.
>>
>>
>> I can't imagine I'd need anything beyond C.
> 
> My go-to language has always been perl, but I use
> C when I need performance...or very strict security,
> like with a setuid wrapper.
> 
> Python is filling the niche that perl had before it
> kind of stagnated[*].  If I want to slurp in a huge json
> file and analyze it, I'd probably write that in perl (and
> I have, in one case).
> 
> [*] Or rather, took off into the weeds...
> 
> I asked chatGPT to write a "quine" in python recently,
> and found it extremely easy to improve on the answer it
> gave me:
> 
> $ cat quine.py
> #!/usr/bin/python3
> 
> with open(__file__, 'r') as file:
>      print(file.read())
> - -%<- -
> 
it's me it's me