mech
ggplot2-book
mech | ggplot2-book | |
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5 | 31 | |
207 | 1,571 | |
0.5% | - | |
9.7 | 0.0 | |
8 days ago | 3 months ago | |
Rust | Perl | |
Apache License 2.0 | - |
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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
ggplot2-book
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Does anyone else absolutely love plotting their data
I also only recently started using ggplot after doing most of my graphs with base R‘s plot() function. I started by reading ggplot2 by Hadley Wickham which is also available as a free ebook. Reading the first few chapters is enough to enable you to plot many basic plots. I can’t imagine going back to any other visualization tool ever again. Absolutely love the freedom ggplot gives you.
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I am starting to learn R and I love it. I would like to learn at least 1 another simmilar language. Which one(s) should I learn?
His ggplot book will teach you all you need to know about R plotting, and is probably right at your current level. It is likewise pretty great, ggplot
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What are your favorite softwares for data visualization?
The OG book is still the best in my opinion! https://ggplot2-book.org/
- Data analysis skills before/in lieu of master’s program
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How can I do this graph?
You could use base R, see ?plot but a lot of people would use ggplot2. However, looking at your data it won’t look very good because there’s going to be very few points per country.
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Can someone explain how R project are organized and deployed?
If you included DESCRIPTION to your repository (like in ggplot2-book - https://github.com/hadley/ggplot2-book/blob/master/DESCRIPTION ) devtools::install_deps() and renv::install() will install dependencies listed there as would pip with requirements.txt , you can trigger this from your R script, from command line or from whatever deployment / automation tool you are using.
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[Q] is majoring in stats a bad choice if i suck at programming?
Chapters 1-8 of https://adv-r.hadley.nz/, https://r4ds.had.co.nz/ , and https://ggplot2-book.org/ were covered in my statistical computing courses. I don't think it gets much more advanced than that at the undergrad level.
- How to add color?
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How can I make a line graph!?
You can check out more about Ggplot2 here: https://ggplot2-book.org/
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Ask HN: How would you spatialize higher dimensional data?
* "ggplot2: Elegant graphics for data analysis" : https://ggplot2-book.org/
What are some alternatives?
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
r4ds - R for data science: a book
tokay - Tokay is a programming language designed for ad-hoc parsing, inspired by awk.
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Frustration-One-Year-With-R - An extremely long review of R.
dtplyr - Data table backend for dplyr
tidyr - Tidy Messy Data
utah - Dataframe structure and operations in Rust