mech
dtplyr
mech | dtplyr | |
---|---|---|
5 | 24 | |
200 | 654 | |
0.5% | -0.3% | |
7.0 | 7.5 | |
7 months ago | 3 months ago | |
Rust | R | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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mech
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Reactive Programming Without Functions
There's also https://github.com/mech-lang/mech which is a sort of descendant of Eve https://witheve.com/ . That too seems to be getting close to hiatus. It's a bit of a shame since it seems like quite a nice paradigm for some stuff like GUIs, interactive stuff, and discrete event simulation, but I suppose the paradigm is both a bit obscure and different enough from everything else that it becomes a "boil the ocean" situation where one or a few people try and hack away but aren't really able to get much traction and eventually tired themselves out.
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What features would you want in a new programming language?
You should take a look at the language I’m developing, Mech: https://github.com/mech-lang/mech
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How do you think of concurrency and parallelism and what would your dream syntax be for it?
I'm working on a language called Mech (github.com/mech-lang/mech) that is semantically parallel and asynchronous first. You can write something like this:
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Mech Lang Spring Update: On the Road Toward Beta!
Hi everyone. I've posted here a couple times about my language Mech, which you can find here. I've just put together an update which I hope this community will find interesting!
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Frustration: One Year with R
> HN readers - do you have an "up and coming" language that you think has better structured the fundamentals from R, that you hope will someday have enough capabilities you can use it instead of R?
Hope is the operative word here!
I'm writing a language to compete in this area. It's called Mech and I'll be releasing the first beta in October. You can think of it like Matlab + Excel. It's very fast, has default-parallel semantics for operators and functions, and supports full interactive coding with no startup/compilation latency issues. It's meant for robots, but I've also designed it to be a better Matlab, and I think it should take on R handily. Fair warning, it's public alpha now so error messages are sparse and the happy path is narrow.
https://github.com/mech-lang/mech
dtplyr
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Tidyverse 2.0.0
Can’t say I’ve used it, but isn’t that what dtplyr is supposed to provide?
https://dtplyr.tidyverse.org/
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Error when trying to use dtplyr::lazy_dt, "invalid argument to unary operator"
# I am trying to follow the example at https://dtplyr.tidyverse.org/
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Millions of rows
FYI the developer of tidytable has been developing dtplyr for the Tidyverse. You might like that too!
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fuzzyjoin - "Error in which(m) : argument to 'which' is not logical"
If you need speed, you should consider using dtplyr (or tidytable), or even dbplyr with duckdb.
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Best alternative to Pandas 2023?
https://dtplyr.tidyverse.org/ ?
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R Dialects Broke Me
If you want data.table speed, but using dplyr/tidy then dtplyr is a good package to have handy. Personally I love R, and choose R + NodeJS as my gotos for everything I do, and use Python only when I have to.
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Merging csv from environment.
Also, that dataset is quite big, and the "base" Tidyverse will be excessively slow. You should supplement the "base" Tidyverse packages (i.e. dplyr and tidyr) with either dtplyr or dbplyr (+ duckDB). I'd suggest starting with dtplyr, which should handle 10M+ rows fine.
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mutate ( ) function is only working in code chunk I run it in. It does not change the column in my data frame other than in that one code chunk.
If you want, there's a "substitute" for dplyr called dtplyr (also part of the Tidyverse), which "translates" your dplyr/tidyr code into data.table behind the scenes, and allows you to make your modifications apply directly to the original dataset by default:
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R process taking over 2 hours to run suddenly
Install the dtplyr package and change your code to:
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DS student here: why use R over Python?
Get the best of both worlds (tidyverse + data.tables) with dtplyr, a data.table backend for dplyr.
What are some alternatives?
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
tidytable - Tidy interface to 'data.table'
ggplot2-book - ggplot2: elegant graphics for data analysis
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Frustration-One-Year-With-R - An extremely long review of R.
tidypolars - Tidy interface to polars
tokay - Tokay is a programming language designed for ad-hoc parsing, inspired by awk.
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 🚀
COVID-19 - Plots and analysis relating to the pandemic
Datamancer - A dataframe library with a dplyr like API
tidyr - Tidy Messy Data
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir