buckaroo
ulisp
buckaroo | ulisp | |
---|---|---|
10 | 33 | |
161 | 361 | |
- | - | |
8.9 | 2.6 | |
about 1 month ago | about 1 year ago | |
Jupyter Notebook | C++ | |
BSD 3-clause "New" or "Revised" License | MIT License |
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buckaroo
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PySheets – Spreadsheet UI for Python
I created buckaroo [1] as a better dataframe viewer for jupyter with built in summary stats. It's built to bring a better dataframe experience to people already using pandas/polars. All of it is extensible [2] so that you can customize stats and transformations to your workflow.
[1] https://github.com/paddymul/buckaroo
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The Design Philosophy of Great Tables (Software Package)
Great tables has done some really nice work on python/jupyter tables. It looks like they are almost building a "grammar of tables" similar to a grammar of graphics. More projects should write about their philosophy and aims like this.
I have built a different table library for jupyter called buckaroo. My approach has been different. Buckaroo aims to allow you to interactively cycle through different formats and post-processing functions to quickly glean important insights from a table while working interactively. I took the view that I type the same commands over and over to perform rudimentary exploratory data analysis, those commands and insights should be built into a table.
Great tables seems built so that you can manually format a table for presentation.
https://github.com/paddymul/buckaroo
https://youtu.be/GPl6_9n31NE
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Ask HN: Problems worth solving with a low-code back end?
JLisp.
3. It was very easy to define new lowcode commands, and have the frontend add them to the palette. Each command defines two methods "transform" which manipulates the dataframe, and "transform_to_py" which takes the same arguments but emits python code.
Adoption of my library in general, and the low code UI specifically has been very limited. I'm in the middle of plumbing the lowcode support back in after a refactor of other parts.
I would like to build a whole ecosystem around JLisp and Buckaroo. Specifically I have some "auto-cleaning" functionality that emits JLisp cleaning and normalization commands, these commands can then be editted in the UI (delete, edit parameters). It's easier to emit JLisp than raw python syntax, it's also much easier to make a UI to manipulate it.
Do you have a repo to look at? What usecase did you have in mind when you were building it?
If I were evaluating a low-code backend builder I'd be interested in the examples, and tests. Hopefully the tests would double as examples. For a Workflow type low-code-builder I'd be most interested in the cron functionality.
[1] https://github.com/paddymul/buckaroo
[2] http://norvig.com/lispy2.html
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How to Write a (Lisp) Interpreter (In Python)
I used Norvig’s lisp2.py to build a low code UI. I modified the interpreter to accept JSON flavored lisp, basically replace parens with brackets. The upside is that it was very very easy to make a react front end that manipulates JSON (JLisp). My thinking was, I need a serialization format for operations from the front end, and a way to interpret them. I could write my own language that no one has heard of, or use lisp, which few have used.
https://github.com/paddymul/buckaroo/blob/main/buckaroo/jlis...
- Show HN: The Buckaroo Data Table for Jupyter
- Buckaroo – the data wrangling assistant for Pandas
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Ask HN: Who wants to be hired? (October 2023)
Location: Boston
Remote: Yes
Willing to relocate: Yes
Technologies: talking to users, python, pandas/numpy, jupyter, js/ts
Résumé/CV: https://www.linkedin.com/in/paddymullen/
Email: [email protected]
In my next role, I want a broad mandate to make a meaningful impact within an organization by developing products that address genuine business challenges, with a preference for data related problems.
Recently I built the data table for Jupyter/Pandas that I have wanted for over a decade. The open source Buckaroo (https://github.com/paddymul/buckaroo) data table combines a performant table, summary statistics, and a low code UI to expedite common data analysis tasks.
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Ask HN: Who wants to be hired? (September 2023)
wanted for over a decade. The open source Buckaroo https://github.com/paddymul/buckaroo data table combines a performant table, summary statistics, and a low code UI to
- Ask HN: Who wants to be hired? (June 2023)
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Pandas AI – The Future of Data Analysis
This morning I added a "Related Projects" [3] Section to the Buckaroo docs. If Buckaroo doesn't solve your problem, look at one of the other linked projects (like Mito).
[1] https://github.com/approximatelabs/sketch
[2] https://github.com/paddymul/buckaroo
[3] https://buckaroo-data.readthedocs.io/en/latest/FAQ.html
ulisp
- How to Write a (Lisp) Interpreter (In Python)
- Show HN: I Made a Lisp
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Lisp Badge LE
I love his projects too. He's also the creator of uLisp.
http://www.ulisp.com/
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Lisp in Space
Not CL, but there is ulisp (http://www.ulisp.com/) for microcontrollers, supposed to be really tiny, and there is Carp (https://github.com/carp-lang/Carp) which is without a GC so seems suitable for real-time stuff.
- uLisp: Lisp for Microcontrollers
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fe: A tiny, embeddable language implemented in ANSI C
There's also ulisp (for Arduino projects etc.): http://www.ulisp.com/
This is larger, because there are functions for accessing peripherals, and the core is more standard lispy with 'caadr' et.al., and it has a compacting GC, so images can be saved as a compact blob.
- ¿Any interpreted lenguage working in low memory microcontrollers?
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Anyone tried to run ECL on a Pi Pico?
You might consider uLisp, it's very Common Lispy for the memory constraints given (sans macros and splicing quote). And you can still connect to it and save an image. I've tried it and it works well enough. Here is the homepage.
- Scamp – a self-contained Forth computer
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What do you think of Forth?
Agreed - the interactivity is good. Lisp is close (have you seen http://www.ulisp.com/ - I can't believe they got into into that small a target!). Python is ok, but for some reason I don't use the REPL in the same way I do in Forth - I think calling functions is just harder somehow. Mostly is exploring valves from the Python REPL.
What are some alternatives?
electron-orbitals - Hydrogen electron orbitals, and the software to render them.
ecl
resume
Lua-RTOS-ESP32 - Lua RTOS for ESP32
resume - My résumé.
ferret - Ferret is a free software lisp implementation for real time embedded control systems.
applin-rails-demo - Example of how to use applin-rails.
lispBM - An interpreter for a concurrent lisp-like language with message-passing and pattern-matching implemented in C.
resume - My latest resume
tinyscheme - TinyScheme is easy to learn and modify. It is structured like a meta-interpreter, only it is written in C.
resume
quickjs-esp32 - QuickJS port for ESP32