🚀 Introducing PyAssist – The Ultimate AI-Powered Python Assistant!

[empty granite]

Hey Python enthusiasts and aspiring developers! We're thrilled to introduce PyAssist, a cutting-edge AI assistant designed to help you level up your Python programming skills. With deep knowledge of Python's ecosystem, PyAssist is here to provide expert guidance, support, and valuable insights on a wide range of topics.

Why should you try PyAssist? 🤔
Here are some top reasons:

🌍 Multilingual & Personalized: PyAssist speaks your language and addresses you by first name, making interactions more engaging and personable.

🧠 Adaptive Learning: PyAssist tailors responses to your preferences, communication style, and learning pace.

📚 Extensive Knowledge: From popular libraries and frameworks to best practices and optimisation techniques, PyAssist has got you covered.

🎓 Teaching & Learning Resources: Access tailored tutorials, exercises, and examples that suit your skill level and interests.

🤝 Real-time Collaboration: PyAssist offers instant feedback, proactive assistance, and real-time collaboration during coding sessions.

We believe that the best innovations are born out of collaboration, so we're inviting all of you to join us in refining and enhancing PyAssist. Your feedback, ideas, and suggestions will not only help PyAssist grow. It will also contribute to our goal of fostering a vibrant, global community of responsible and ethical OpenAI prompt engineers and developers.

📢 Please share your thoughts, experiences, and ideas to take this to the next level.

Let the OpenAI Python party begin!

[manic axle]

Very vivid description, now I wait to try this and will give feedbacks, if it is better than my:

act as an expert programmer and world class code writer using the best practise and optimized coding. Your aim is to support the user in building his software and apps. Check your code proposal for mistakes before answering. Use markdown for clear and structured answered. Ask for precision for the coding project before starting.

After giving the code written as a one single file that can directly be pasted and should work, you will act as a Critic to evaluate the quality of the code and emits critiques. Based on these critics you will improve the code and provide a new output.

[scarlet sentinel]

this is awesome! thank you!!!

[warm tundra]

was it?

[heady minnow]

I think it depends on the objective, while the other prompt teaches python, offers exercises and gives feedback to codes that the user has made in python, yours is more focused on creating codes and giving feedback on them.

I'm creating a simple neural network to create a basic training where she knows how to play chess I'll see if it works (I'm creating with the prompt above)

[heady minnow]

playing against an AI that I created and trained myself using the prompt above

[unique night]

nice

[empty granite]

That is awesome!

[empty granite]

Revised version. 🙂

[twilit tusk]

This is awesome nisus. Can you make for azure/ aws machine learning assistant when you have some time?

[empty granite]

Sure. I've been also working on a vector database AI Assistant and plan on sharing it in a few days.

[astral raptor]

🔥

[empty granite]

Good 🔥 or bad? 🫣

[astral raptor]

good

[empty granite]

Yay!

[deep holly]

Thankyou so much Nisus, your prompt has been helped me literally in my journey to learning Python. Right now, i want to create an article about it in medium, can i share your prompt in my medium writing? Of course i will credit you

[empty granite]

That is awesome! You are more than welcome to talk about it and share it. 😁

[deep holly]

Great to hear, i will share my article after finished writing!

[warm basalt]

I'll have to try this to see if it can help gpt-4 code interpreter review and improve my code but it's already at the context limit as a single file.

[empty granite]

The context window is pretty large (could always be bigger). When the ChatGPT stops due to the max number of tokens in its response, just prompt it with 'You stopped. Please continue from where you left off.' and it will

[warm basalt]

yeah I do that already 🙂
However, you start to run into code fidelity issues at this point because it cannot clearly remember the entire thing and begins to make stuff up. Those code still work, but are often missing things like timeout and error prevention that were previously in the code. Very interesting to see, sometimes It is able to work around it by starting with the file fresh and then just offering up fixed blocks. Once you get into troubleshooting it exceeds that context buffer immediately so I end up having to to troubleshooting on a clean instance

[empty granite]

I potential solution is leveraging the API and also introducing a Vector Database for memory such as Weaviate or Pinecone.

[warm basalt]

Now that would be interesting. Even now code interpreter is struggling, literally removed a print command during code cleanup

basic things that I now have to go back through and scrutinize for.. never should have happened. Occurred because of a fidelity and memory problem.

[bronze flume]

Nice 👍

[winter sundial]

[weak badge]

greast

[autumn coyote]

Hey Nisus, not sure if you ever got back to me or if I missed your reply, is this the latest version? Have you updated if? this is really good, could I add this to The Prompt Index, you will of course be credited, alternatively you can add it yourself!

We are also on telegram. Just search ChatGPTMastermind 🙂 anyone is very welcome to join the discussion.

I’m also looking for other coding prompts if you have any you could share and would be happy for me to add?
Thanks for your contributions!

[empty granite]

Hi - You bet. The current version is 1.1. Feel free to add this to your Prompt Index. 😛

[autumn coyote]

Thank you

[green brook]

@deep holly

[deep holly]

Yess?

[abstract summit]

So could this be used for a custom instruction or would it be more of a prompt @empty granite