ChatGPT vs. Jupyter Notebook

I’d definitely recommend ChatGPT to anyone as a great introduction to generative AI and as a starting point in research, writing, brainstorming, or general questions or judgement questions. It can be a great tool to use when you don’t necessarily need an accurate answer. For example, I wouldn’t let it calculate my taxes, but I’d use it to ask some general tax questions, then ask for sources and then verify by checking those sources. I also love ChatGPT for writing and questions - it’s great for emails, creating templates and outlines, and for generating spreadsheet formulas.

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I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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• Saves time by generating content about a specific topic very quickly
• Allows us to quickly learn information online (from various sources or even a single lengthy article) into more summed up digestible paragraphs (and even bullet points)
• Can autogenerate content on a vast amount of topics

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• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

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• Wish it had support for better slides generation. Sometimes we found ourselves using chatgpt to outline a presentation but build it ourselves or use a tool like Gamma
• Maybe a chepear $10 plan. In some countries the US dollar can be expensive and $20 goes a long way.
• I wish you could make projects with more files. They limit it. Or make the limit based on the content, not the number of files per se

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• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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ChatGPT is a powerful assistant. As long as you understand what it is you're looking for in its results, it can save you a lot of time due to its ability to do the heavy lifting for you. This frees your time up to enable you to concentrate on other tasks.

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It's a potent utility tool, personally and professionally. It’s also very convenient - it can be used for a wide range of things and scenarios, and when used correctly, it usually produces dependable results in
seconds. I would give it a full 10 if it didn't hallucinate as much as it does, and the image generator was more accurate.

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Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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Their responses are always professional , although they delay sometimes

I haven't had a need to contact support. However, all required help is out there in public forums.

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I find that ChatGPT has the best overall system for user-friendly Ai. I like the customization options of this tool in comparison to others. The ease of setting up a custom GPT with knowledge and resources is great - you don't get that in other tools. I also like the ability to embed the application directly into the browser or computer. This is powerful and opens up addition features or tools

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With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

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• I can solve problems quickly. What would take some time, for example, writing an SPF string, ChatGPT can do it correctly in seconds if I it gives the correct information.
• The best tool I've ever used for research. For example, I can ask ChatGPT to list all the villages, cities and townships in a specific county. And provide the URL link for each.
• Problems that seem unsolvable, i.e. why is Gmal rejecting every message from our list server is answered with a number of suggestions that I can follow up with.
• Basically, has elimited a tech support position in our company.

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• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info