MattSandy

FROM ubuntu:latest

# Install SSH server and SFTP
RUN apt-get update && apt-get install -y openssh-server
RUN mkdir /var/run/sshd

# Create a new user 'sftpuser' with password 'password' (replace with your own credentials)
RUN useradd -rm -d /home/sftpuser -s /bin/bash -g root -G sudo -u 1001 sftpuser
RUN echo 'sftpuser:password' | chpasswd

MattSandy

var Twitter = require('node-tweet-stream')
    , t = new Twitter({
    consumer_key: '',
    consumer_secret: '',
    token: '',
    token_secret: ''
});
var watch = [
    "SB52",
    "SBLII",

MattSandy

library(tidyverse)
library(jsonlite)
df <- "https://api.inc.com/rest/i5list/2022" %>%
  fromJSON() %>% 
  .$companies %>%
  bind_rows() %>%
  group_by(inc5000companyId) %>%
  mutate(
    article = ifelse(is.null(article %>% unlist %>% .[1]),NA,article %>% unlist %>% .[1]),
    editorsPick = editorsPick %>% unlist %>% paste(collapse = ",")

MattSandy

library(microbenchmark)
long_way <- function(time_vector) {
  return(
    time_vector |> 
    lapply(function(x){
      (x |> 
         str_match_all("[0-9]{1}") |> 
         unlist() |> 
         rev())[1:4] |> 
        (\(time){

MattSandy

con <- socketConnection(
  host="localhost", 
  port = 6011,
  blocking=TRUE,
  server=FALSE, 
  open="r+"
)

the_data <- "testing this dang thing"
write_resp <- writeLines(as.character(nchar(the_data)), con)

MattSandy

library(sf)
library(ggmap)
library(ggplot2)
library(ggthemes)
library(dplyr)
library(magrittr)
library(data.table)
# Fetching
library(rvest)
# Cleaning column names

MattSandy

SocketIO Performance Tests for Server and Client

Logs milliseconds for each leg of a websocket event.

MattSandy

library(tidyverse)
library(gt)
mtcars %>%
  group_by(gear,cyl) %>%
  summarise(
    n = n(),
    mpg = mean(mpg)
  ) %>% (function(df){
    df$gear[which(duplicated(df$gear))] <- ' '
    return(df)

MattSandy

library(tidyverse)
df <- data.frame(
  x1 = rep(0,200),
  y1 = 21:220 + sample(1:10,200,replace = TRUE),
  g = 1:200
) %>%
  cbind(
    data.frame(
      x2 = (200:1 + (sample(1:200,200,replace = TRUE)/100)) / 1.5,
      y2 = 1:200 - log(1:20) - (sample(1:200,200,replace = TRUE)/100)

MattSandy

library(tidyverse)
library(glue)
library(jsonlite)
library(lubridate)

df <- c("user_a","user_b") %>%
  lapply(function(user){
    after <- ""
    df <- list()
    for(i in 1:40) {