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Hacker News top posts: May 13, 2022
2 projects | reddit.com/r/hackerdigest | 13 May 2022
Tokay Programming Language\ (21 comments)
Tokay Programming Language
2 projects | news.ycombinator.com | 12 May 2022
I am very interested in this project as a "better awk" is something I have often fantasized about.
I read all of the documentation that's available on https://tokay.dev/tokay-docs/, but unfortunately it never really... describes itself? Many sections, including the section on "parselets" are just unwritten. "Consumable" values are mentioned but never described (there is a "stub" section that doesn't really explain what the term means).
It begins with a pretty detailed description of value "severity" but doesn't really motivate why the concept exists. (I think that it's (basically) a way to very concisely discard certain matches? When there are "more important" matches around them?)
There are no examples of how I could use Tokay to "parse" something -- there are lots of examples dotted through the docs, but none of them demonstrate working with structured file formats, and they feel a little bit contrived.
I'm not complaining here: this project is not making any false claims about its status, the docs are clearly and explicitly unfinished, it is very clear that Tokay is still under active development.
But I want to learn more about it! I came away from that with a sense that, this has the potential to be really useful to me, but without any concrete evidence to support that. I guess the next step is to download the source and start reading through the tests.
All this to say: please highlight some examples showcasing situations where Tokay shines! (Parsing CSVs containing quoted strings was making the rounds recently, right? What does that look like in Tokay?)
Oh, actually, the GitHub readme has an example that is more involved than any in the documentation: https://github.com/tokay-lang/tokay
_ : [ \t]+ # redefine whitespace to just tab and space
Frustration: One Year with R
10 projects | news.ycombinator.com | 22 Mar 2022
> 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.
What are some alternatives?
dtplyr - Data table backend for dplyr
Frustration-One-Year-With-R - An extremely long review of R.
ggplot2 - An implementation of the Grammar of Graphics in R
ggplot2-book - ggplot2: elegant graphics for data analysis
COVID-19 - Plots and analysis relating to the pandemic
plotnine - A grammar of graphics for Python
cheatsheets - RStudio Cheat Sheets
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
erg - A statically typed language that can deeply improve the Python ecosystem
koto - A simple, expressive, embeddable programming language, made with Rust
butter - A tasty language for building efficient software. WIP
react-snippets - A sample of useful snippets in React