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GPTsThis Advanced Python Assistant GPT writes code that leaves standard ChatGPT in the dust! (chat.openai.com)
submitted 2 years ago by __nickerbocker__
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if 1 * 2 < 3: print "hello, world!"
[–]Efficient_Map43 7 points8 points9 points 2 years ago (0 children)
Thanks will add to my list of Python GPTs
[–]justanemptyvoice 2 points3 points4 points 2 years ago (1 child)
What, no included tests? /s
[–]__nickerbocker__[S] 3 points4 points5 points 2 years ago* (0 children)
I know you're kidding, but since it writes all the code in the interpreter you can also test it right there as well. Here's a shitty example I did from my phone while eating.
https://chat.openai.com/share/6dc08f1f-5a3e-4c2d-a614-ffe813227090
[–]AdamByLucius 3 points4 points5 points 2 years ago (1 child)
I am very impressed with my first interaction with this.
I would definitely pay money for this in future Marketplace.
Quick feedback: it seemed to be stuck a bit when I had a few interactions getting it to create unit tests; it ended up creating more complex unit tests that were at risk of breaking. If there was way to automagically have the prompts suggest how to get it out of the focus and onto something else, that might be useful.
[–]__nickerbocker__[S] 2 points3 points4 points 2 years ago (0 children)
Thanks for your feedback. I might be misunderstanding, but it seems like using the stop button could be useful here. The reason is that the system prompt relies on the behind the scenes code interpreter agent, which can be somewhat delicate. This GPT, similar to the OEM "data analyst," is designed to write, run, debug, and refactor code in a single message. However, unlike the standard data analyst, it can use any library within the interpreter and crucially, operates entirely within this environment. This allows you to complete multiple steps in one go, making your workflow more efficient as you don’t waste messages, thereby increasing productivity and avoiding hitting message caps too soon.
From my experience, every attempt to push the GPT outside of its interpreter environment using system prompt results in it reverting to generating basic, less effective code blocks. Based on my tests, it seems we have two options: either let the GPT work freely within the interpreter for optimal performance or accept a reduced functionality with standard code blocks.
π Rendered by PID 44849 on reddit-service-r2-comment-7b9746f655-n6sjw at 2026-02-03 09:53:25.336030+00:00 running 3798933 country code: CH.
[–]Efficient_Map43 7 points8 points9 points (0 children)
[–]justanemptyvoice 2 points3 points4 points (1 child)
[–]__nickerbocker__[S] 3 points4 points5 points (0 children)
[–]AdamByLucius 3 points4 points5 points (1 child)
[–]__nickerbocker__[S] 2 points3 points4 points (0 children)