Matt Pettis mpettis

Resources I recommend to learn Ruby and Rails

New? Start here

I like jumping into tutorials first.

Agile Web Development with Rails, I learned Rails with an older edition of this book
The Rails Tutorial, The most popular Rails tutorial before it became a paid resource, "The Hartl Tutorial"

"How to write Ruby" Books

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

NEW! Fan of the list Diego Peinador has done what I've been too lazy to do for years: stand up an easily-remembered domain for The Rules, complete with one-per-page URL schema - e.g., for Rule 42 just visit https://the-rul.es/42/

Thanks Diego! <3

(subject to additions, but rarely changes)

rule 0: It has to work.

rule 1: As simple as possible.

library(tidyverse)

lag_multiple <- function(x, n_vec){
  map(n_vec, lag, x = x) %>% 
    set_names(paste0("lag", n_vec)) %>% 
    as_tibble()
}

tibble(x = 1:30) %&gt;%

	``` r
	library(ggplot2)
	library(dplyr)
	library(magick)
	library(patchwork)
	library(gt)
	library(ggtext)

	mtcars %>%
	head() %>%

	library(tidyverse)
	library(broom)

	US <- read_csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us.csv") %>%
	mutate(new_deaths = deaths - lag(deaths)) %>%
	filter(date >= "2020-02-26")

	models <- tibble(degrees = 2:4) %>%
	mutate(model = map(degrees, ~ lm(log(new_deaths + 1) ~ poly(date, .), data = US)))

	import numpy as np
	import tensorflow as tf


	def dense(x, weights, bias, activation=tf.identity, **activation_kwargs):
	"""Dense layer."""
	z = tf.matmul(x, weights) + bias
	return activation(z, **activationn_kwargs)

	library(ggplot2)
	library(dplyr)
	library(tibble)
	library(tidyr)

	GeomVector <- ggproto("GeomVector", Geom,

	required_aes = c("x", "y", "direction", "length"),

	default_aes = aes(

	(require '[clara.rules :as r])

	;;;; Define 3 rules, where the "priority" order is r1, r2, r3, where the highest priority is first
	;;;; and the rest is in descending order of priority.

	;;;; :type :rule/result "syntetic" fact is used to hold the final changes that can be queried out
	;;;; from a session after `r/fire-rules` via `r/query` on the `find-results` query.
	;;;; A namespace qualified keyword is used to avoid collision with externally given :type of
	;;;; "real" facts.