meanmrmustard92
meanmrmustard92 on Hacker News
"depending on executive and blood alcohol level" is such a good throwaway joke
This is just conversational australian english
Folks who know Pulsar and Zed internals: which one of them is more likely to gain support for Atom packages? I find Hydrogen[1] invaluable as a data science scratchpad since it supports python/r/julia/etc under a common interface via jupyter, and have been unable to construct a comparable workflow in vscode or any other editor [using scripts as opposed to notebooks, which i find far too bloated].
[1]: https://github.com/nteract/hydrogen
I like how programming language article/book title cliches are cross-pollinating now. In a decade, I hope we'll have "Bite size julia for morons who know how to stand on one leg and can read perl"
polynesian god of high fidelity bluetooth playback
Caroline's dad is an MIT econ prof and wrote a series of books titled Hard Math for X. New installment should surely be Hard Math for Crypto Fraud and Jail Evasion.
Some speculated that prosecutors had gone soft on looting after the Black Lives Matter protests in 2020. But it is hard to see any such trend in the data: generally states with more shoplifting prosecute more shopliftersThe claim is about the time-series comparison, and the rebuttal is about the cross section comparison. Is the journalist in question stupid, gaslighting, or both?
Marty came across as a slimy prick in the (otherwise excellent) Noclip documentary about the making of Doom (2016). Turns out the real-life version is much worse.
TIL Luc Devroye has time to design and maintain fonts. Legend.
I pay for Inoreader and really like it.
Somewhat ironically, its killer feature for my use case is the ability to ingest emailed content will make emailed content look like any other RSS feed, since lots of scientific journals / sites have stopped using RSS.
RIP.
Hydrogen [
https://atom.io/packages/hydrogen] running on Atom is the cleanest multi-lingual data science IDE in existence and has been my go-to for years. Haven't found a drop-in replacement elsewhere [vscode's language support is scattered: native python integration, different for R, Julia etc].
Anyone on HN have recs [besides vim slime or send-to-terminal options in other editors, which work but are clunky] ?
Posted by
meanmrmustard92 on Tuesday June 07, 2022 @01:54PM
from the yang-song.github.io dept.
Shpongle and OTT are amazing goa-ish electronica. OTT's new album is great.
This might run counter to the super minimal setup, and feel free to ignore if so, but mathjax/katex support would be nice. I often have simple ideas that can be summarised in a couple of lines of math that could really benefit from a light platform like this.
Academic use: CVX[R/Py] are excellent because they plug into both open source and commercial (Gurobi, Mosek).
Powershell doesn't simply enter the chat. Powershell enters-its-username-and-password-and-hits-enter the chat.
[I'm usually a fan of informative command names, but surely there's a happy medium]
hard second. ggplot2 was the last (only) good package hadley ever wrote; the rest is more about reinventing the wheel and viral-marketing with hex-stickers than about getting work done. the newer stuff in particular is atrocious; heaven forfend function calls that don't require understanding the lore of a package (`recipes` has stupid functions like `recipe`, `bake` and similar nonsense).
at a push, base + data.table + ggplot2 get everything done. tinyverse ftw.
This is fantastic. What arguments should I pass ./cxxmatrix to get the mandelbrot set or game of life?
Can't seem to get it to work / couldn't figure it out from the repo.
Agreed. Recent updates to rlang have made programming dplyr/ggplot2 functions a bit better, but it still feels super clunky. I use data.table for most things for programmability and speed reasons.
As much as I like ggplot2, I find the rest of the tidyverse to be solving problems it invents (e.g. quosures to fix the problem of not permitting string arguments for dplyr verbs) and monopolising an open source ecosystem.
They recently implemented a pretty restrictive freemium subscription model that has tempered my enthusiasm for it massively. 50 snips a month is nothing for grad students.
Merry Christmas from another Nepali on the other side of the world (Bay Area) and missing home.
looks similar to Hydrogen for Atom. I'd recommend that (since it is actively maintained) too
Thanks; been meaning to. I've not seen a good exposition of what benefit the DAG way of doing Causal Inference has over the Potential Outcomes Framework. Morgan and Winship (another good textbook) tries, but I didn't really buy it. I guess I have to hear it from the horse's mouth.
In econometrics / empirical social science:
- Mostly Harmless Econometrics by Joshua Angrist and Jorn Steffan Piscke
- Causal Inference for Statistics, Social, and Biomedical Sciences by Guido Imbens and Donald Rubin
- Data Analysis using Regression and Multilevel Models by Andrew Gelman and Jennifer Hill