Based on our record, Jupyter should be more popular than Google News. It has been mentiond 216 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.
Https://news.google.com/ is having trouble for me. Sections aren't loading, with the error "Uh-oh, something went wrong. Please try again." On Android, the Google News app says "No recent articles". - Source: Hacker News / 12 months ago
When google did this long ago: https://news.google.com/ I knew the new industry was going to collapse. What more do you need from a new aggregator? Journalism was doomed since though. I had tried https://ground.news/ but never stuck with it. I like the idea but it fails at dimension. There is no left vs center vs right in Canada. Politics in Canada and Europe is 3 dimensional at least with wormholes in our... - Source: Hacker News / about 1 year ago
Https://news.google.com/ ? It has briefs, read it and close the tab. It’s that simple. - Source: Hacker News / about 1 year ago
If you like the Microsoft one, you can pin www.msn.com and for google its news.google.com. Source: over 1 year ago
What I want to achieve is something like news.google.com but on YouTube, where I can get latest news about business for example, and then pick the topic (eg. Today are TSM stocks in trend, and I want to get all videos from today or yesterday about that topic from a News relevant channels.). Source: over 1 year ago
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 4 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 12 months ago
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