For those of you who like to write blogs/docs in markdown, we have a new tool for you: ? marimo-snippets ? ! It's a javascript plugin that allows you to turn python codeblocks into fully functional marimo notebooks via WASM! You can host these notebooks as full notebooks, but you can also choose to run them in app mode. This will hide the code, but will allow users to interact with all the widgets. Here's one such example hosted on a blog: If you're keen to see a full demo, we recorded a new video for YouTube that gives all the highlights: https://lnkd.in/gFa2Jk26 All the configuration options and settings can be found on our Github repository here: https://lnkd.in/gV_U-5Su We hope you like it and that it may add some extra utility to your blogposts and documentation pages!
marimo
软件开发
A next-gen, open-source, AI-native Python notebook— git-friendly, SQL built-in, reproducible, run as as scripts or apps!
关于我们
We build next-generation Python tools for ML and data science, starting with the marimo notebook: explore data, build tools, and deploy apps in one seamless environment. The marimo notebook is free and open source — pip install marimo to get started today! Visit our repo to learn more: https://github.com/marimo-team/marimo
- 网站
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https://marimo.io
marimo的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 类型
- 私人持股
marimo员工
动态
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Spotlight on Arthur S.'s prompting application for attorneys: Arthur has used marimo to build an interactive application showcasing advanced prompting techniques for legal professionals working with Large Language Models (LLMs). The code is free and open-source: find it on GitHub! https://lnkd.in/gZpVem8i
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marimo转发了
After using ipython notebook, then jupyter for the last decade I've migrated to marimo thanks to ?? Vincent D. Warmerdam. And this is amazing: - the UI it's just beautiful: and you get in the UI: variables, database connections, package installation, logs, tracing and a chat with AI - i like that i can click on methods and i can find more about them - the tutorials are super clear and really helpful - code runs smooth and everything feels effortless Good job marimo. This is awesome!
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Traditional Python notebooks are stored as JSON, not Python, causing a whole host of problems. For one, ipynb files are hard to use with Git: few character changes can yield enormous git diffs. marimo solves this and other problems by storing notebooks as pure Python files. Check out our latest video to learn more! https://lnkd.in/ghvzCBeD
For the past 3 years, I've been working alongside Myles Scolnick, Dylan Madisetti, and others to reinvent notebooks as Python programs. We created the marimo notebook —?a new open-source Python notebook that's stored as pure Python, and can be versioned with Git, run as scripts, reused as modules, tested with pytest, and more. Learn more in our latest blog: https://lnkd.in/gBvh623F We chose to build marimo because we felt morally obligated to —?the status quo for Python notebooks is not working. Jupyter notebooks, stored as ipynb files, are what Pydantic creator Samuel Colvin calls "horrid blobs" — JSON that combines code and outputs, and can't be versioned with Git or treated as software. Less than four percent of Jupyter notebooks on GitHub are reproducible. Despite all these problems, Jupyter-like?notebooks are used for critical tasks like data engineering, AI development, scientific computing, and much more. Interactivity is so crucial to data work that hundreds of thousands of data professionals decided the trade-offs were worth it. Collectively, we've worked at Google Brain and Palantir, and have PhDs from Stanford and Johns Hopkins. We can empathize with notebook users because we've used notebooks a lot ourselves (for better or worse). We think we can fix Python notebooks, because we have a lot of experience with and opinions about software systems.
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It's *very* rewarding to wake up and read HackerNews with comments like this. ?? Found here: https://lnkd.in/ggCzmnTQ
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Welcome Shahmir Varqha! Shahmir joins us from Grab to help build the best user experience seen in any computational notebook.
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Introducing marimo AI ? Go from idea to Python (or SQL) notebook in seconds?—?play with the notebook in our WebAssembly Pyodide playground? or run it locally with the open-source marimo notebook. To get started, go to https://marimo.app/ai. Then ?? Enter your own prompt ?? Try an example from our prompt library, featuring Plotly, Matplotlib, Polars, DuckDB, Scipy, scikit-learn, and more. Use generated notebooks as templates to jumpstart data exploration, analysis, modeling, learning —?building.
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Max Woolf wrote a great blogpost the other day to the extent that we felt like reproducing a part of it. For all those magic the gathering fans out there, this one's for you ?? ! https://lnkd.in/g6R9wf57
Rapid prototyping for MTG cards
https://www.youtube.com/