pan
Datamancer
| pan | Datamancer | |
|---|---|---|
| 1 | 7 | |
| 37 | 124 | |
| - | 2.4% | |
| 0.0 | 8.7 | |
| over 1 year ago | 3 months ago | |
| Nim | Nim | |
| MIT License | MIT License |
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pan
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Nim Version 1.6.6 Released
> unless you limittest generics, most people wont even encounter this.
I don't think my totally normal usage of generics for type safety could be called "stretching the limits." My usage of generics includes using a parameter [V] for OpenGL meshes to introduce type safety with the vertex type. I'm pretty sure that's perfectly normal?
Recently one of my friends tried compiling my project - pan[1] on Windows, and for whatever reason - it doesn't work! stating that it "cannot instantiate 'V'", whatever that means. I've had this error annoy me many times before, but I have no clue what triggers it or how to reproduce it reliably. Call this a 'stable implementation.'
[1]: https://github.com/liquidev/pan
Datamancer
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Anyone attempted to make Nim serve R's role? How is it currently?
I have been using Nim for all of my recent data munging and analysis. There's https://github.com/Vindaar/ggplotnim for plots (among others) and everything else has just been normal code. There's also https://github.com/SciNim/Datamancer if you need something more like tidyverse.
- Nim Version 1.6.6 Released
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Is Nim right for me?
Check out Datamancer for your Pandas equivalent. If I recall correctly it does have the ability to read/write csv. If that doesn't suite you, there is a Python/Nim bridge called Nimpy. I do a lot of machine learning projects and have to use OpenCV and some other things from python because it doesn't exist yet. It's a pretty damn cool library.
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daily report for Nim language
worked on the roadmap https://github.com/nim-lang/Nim/pull/19388 (enable -d:nimPreviewFloatRoundtrip and -d:nimPreviewDotLikeOps) and found that an important_packages (datamancer) failed. So I made a PR (https://github.com/SciNim/Datamancer/pull/23). It is not a bug of nimPreviewFloatRoundtrip(It seems like a precision problem to me) so alternatively datamancer can be disabled transiently.
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Which dataframe library to use?
There seems to be two major ones for Nim, NimData and Datamancer. Which one is better?
- Polars: Lightning-fast DataFrame library for Rust and Python
What are some alternatives?
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.
nimpy - Nim - Python bridge
RFCs - A repository for your Nim proposals.
dtplyr - Data table backend for dplyr
enu - A Logo-like 3D environment, implemented in Nim
Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
ggplotnim - A port of ggplot2 for Nim
NimData - DataFrame API written in Nim, enabling fast out-of-core data processing
rnim - A bridge between R and Nim
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀