It has a sleek interface that makes it a simple platform to use.
Squarespace enables non-programmers to create user-friendly websites. To assist novice users, the site offers step-by-step video training, which is amazing...
Based on our record, Jupyter should be more popular than SquareSpace. 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.
I highly recommend Squarespace, DM me if you want me to share some of my client's finished websites. Also, I am happy to answer any of your questions for free. Source: almost 2 years ago
I recently moved my website to squarespace and have added several text boxes with links to other pages on the site. However after clicking save and then testing the links, they always resolve back to squarespace.com. Upon reviewing the links they have been converted back to squarespace. Any advice? Source: almost 2 years ago
Or, you can try something like squarespace.com as well. Source: about 2 years ago
I'm pulling my hair out here. Websites like wix.com, squarespace.com ...etc; can generate websites on the fly and still use SSL on every one of the millions of custom domains. Source: about 2 years ago
Are you selling this on your squarespace.com account? Source: about 2 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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