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Based on our record, Jupyter should be more popular than Codex by OpenAI. It has been mentiond 206 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> it would need some human touch but most of the work will be done already By that very loose standard, the matter of time is 2 years 6 months 18 days ago — August 10, 2021 was OpenAI's blog post about the Codex model, with a chat interface producing functional JavaScript: https://openai.com/blog/openai-codex Right now, what I see coming out of these tools (and what I see in the jobs market) gives me the... - Source: Hacker News / 3 months ago
- Then there's this live demo of OpenAI's Codex but it's not an AI OS like the pin. It does something much better... It creates a script based on what you voice command it to do. So it basically translates that whatever you want into the code to execute that what you said. > However... "As of March 2023, the Codex Models are now deprecated. Please check out our newer Chat models which are able to do many... Source: 6 months ago
Footnote 1 on page 2 explicitly mentions the 3.5 model and the research in this paper is only about auto completion: https://arxiv.org/pdf/2306.15033.pdf And this blog post states “beyond Codex”, again for auto completion: https://github.blog/2023-07-28-smarter-more-efficient-coding-github-copilot-goes-beyond-codex-with-improved-ai-model/ Lastly, OpenAI states on the original Codex page: “OpenAI Codex is a... - Source: Hacker News / 8 months ago
As someone who constantly searches for ways to improve personal coding performance and performance of my development teams, I have been experimenting a lot with AI driven utilities that might assist developers in writing code. TabNine, ChatGPT 3 & 4 and, finally, GitHub Copilot that wraps a special version of OpenAI's CodeX in a tool that is easy-to-integrate with modern IDEs. - Source: dev.to / 8 months ago
They all work off of https://openai.com/blog/openai-codex. Source: 12 months ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 10 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 1 month ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
TabNine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.
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