Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago

Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago

Agree with the author, will add: duckdb is an extremely compelling choice if you’re a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) … and that’s just one example of many. - Source: Hacker News / 7 months ago

The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago

Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago

Some of those already exist, e.g. https://bellard.org/tcc/ However, they're not in widespread use. I would be curious to learn if there's any data/non-anecdotal information as to why. Is it momentum/inertia of GCC/LLVM/MSVC? Are alternative compilers incomplete and can't actually compile a lot of practical programs (belying the "relatively simple program") claim? Or is the performance differential due to... - Source: Hacker News / 6 months ago

In theory you should be able to use TCC to build git currently [1] [2]. If you have a lightweight system or you're building something experimental, it's a lot easier to get TCC up and running over GCC. I note that it supports arm, arm64, i386, riscv64 and x86_64. [1] https://bellard.org/tcc/ [2] https://github.com/TinyCC/tinycc. - Source: Hacker News / 11 months ago

> I'm not sure who wants to be able to syntax highlight C at 35 MB per second, but I am now able to do so Fast, but tcc *compiles* C to binary code at 29 MB/s on a really old computer: https://bellard.org/tcc/#speed. - Source: Hacker News / almost 2 years ago

"Because Pnut can be distributed as a human-readable shell script (`pnut.sh`), it can serve as the basis for a reproducible build system. With a POSIX compliant shell, `pnut.sh` is sufficiently powerful to compile itself and, with some effort, [TCC](https://bellard.org/tcc/). Because TCC can be used to bootstrap GCC, this makes it possible to bootstrap a fully featured build toolchain from only human-readable... - Source: Hacker News / about 2 years ago

For what it's worth you can implement a C compiler in under 10kLOC. The chibi C compiler is only a few thousand lines [1]. There is also Cake [2] and the tiny C compiler [3] which are both relatively small. [1] https://github.com/rui314/chibicc [3] https://bellard.org/tcc/. - Source: Hacker News / over 2 years ago