Based on our record, Jupyter seems to be a lot more popular than Typeform. While we know about 216 links to Jupyter, we've tracked only 17 mentions of Typeform. 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.
Create a customer survey to collect insight on Typeform. Source: about 2 years ago
If it's feedback forms, you can simply use https://typeform.com/ and use conditions in the questions (e.g. If the User selected option X, show next question Y, etc.). Source: over 2 years ago
Its from typeform.com and it looks to be their own proprietary code, I couldn't see any specific libraries they were using. Source: over 2 years ago
Not any social medias, not a single review on trustpilot, not a single piece of verifiable information that their thing is legit, nothing. And also the weird thing that I saw is when you go take their survey so they can take your commission, they sent you to a weird ”typeform.com” link which apparently is a website that allowed them to have a web based platform they can use to create surveys without needing to... Source: almost 3 years ago
What is the best way to implement quite complex, personality surveys into a flutter app? It`d be perfect if I could directly integrate typeform (typeform.com) et al, but haven`t found anything yet, except to embed it in a webpage... Any other ideas? Source: almost 3 years 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 / 3 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 / 4 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 / 8 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 / 11 months ago
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