rossta

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

veekaybee

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

darkuncle

(subject to additions, but rarely changes)

rule 0: It has to work.

rule 1: As simple as possible.

rule 2: Use the right tool for the job.

rule 3: Everything is a tradeoff. (see Rule 41)

jthomasmock

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

mtcars %>% 
  head() %>% 

brshallo

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;% 

DavisVaughan

hi

dgrtwo

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)))

rayheberer

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)

djnavarro

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

GeomVector <- ggproto("GeomVector", Geom,

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

  default_aes = aes(

mrrodriguez

(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.