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Based on our record, Jupyter seems to be a lot more popular than PsySH. While we know about 216 links to Jupyter, we've tracked only 3 mentions of PsySH. 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.
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 3 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
I do similar things with Elixir scripts, though commonly I still turn to PHP because there is some single file library that does what I want with a lot less ceremony than the Java variety would require. There's also PsySH, https://psysh.org/, for being something other than a Common Lisp or BEAM interface it's a very nice REPL. Besides Picolisp and iex it's the interactive programming environment I use the most. - Source: Hacker News / 3 months ago
Https://psysh.org/ It's very popular, as in a lot of businesses use it, it's just not fashionable. I think it's a great tool to have. It had gradual typing before it was cool. You can type in like a page of code including the layout and render whatever in a PDO-supported database on a web page, served by the builtin web server, which is great for data exploration and things like SQL optimisation. At the moment I'm... - Source: Hacker News / 7 months ago
PHP is great, but you need to be a pretty decent developer to use it effectively. It has a rather nice interactive shell, https://psysh.org/ . I've built non-trivial, non-web systems in it. Concurrency 'within' the language isn't as nice as some alternatives, but the FCGI-style deployment is quite reliable and convenient in practice. - Source: Hacker News / about 1 year ago
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