python273

import os
os.environ["OPENAI_API_KEY"] = ""

from flask import Flask, Response, request
import threading
import queue

from langchain.chat_models import ChatOpenAI
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain.schema import AIMessage, HumanMessage, SystemMessage

imartinezl

# Geographical Data -------------------------------------------------------

library(dplyr)

# download geospatial data for NUTS-3 regions
euro_nuts3_sf <-
  eurostat::get_eurostat_geospatial(output_class = 'sf', resolution = '60', nuts_level = 3) %>%
  sf::st_transform(crs = 3035)

k5cents

library(eurostat)      # eurostat data
library(rnaturalearth) # worldwide map data
library(tidyverse)     # tidy data transformation
library(lubridate)     # date and time support
library(sf)            # simple features GIS

euro_pop <-
  get_eurostat('demo_r_pjanaggr3', stringsAsFactors = FALSE) %>%
  filter(
    str_length(geo) == 5, # NUTS-3

k5cents

# this script automates the collection, processing, and plotting of gridwatch energy data
# 2019-05-27
# @kiernann
# u/WannabeWonk

# install.packages("pacman")
pacman::p_load(
  RSelenium,
  readr,
  dplyr,

furbrain

import smbus
import time

DEV_ADDRESS = 0x15


class Bearable():
    def __init__(self):
        self.bus=smbus.SMBus(1)
        self.leds = [0]*12

schochastics

################################################################################
# replication of https://i.redd.it/q0udc4wfhvjz.gif
# originally posted to r/dataisbeautiful by u/Tjukanov
################################################################################
library(tidyverse)
library(gganimate)
library(lubridate)

#data from: https://www.ncdc.noaa.gov/ibtracs/index.php?name=wmo-data
df <- read_csv("Allstorms.ibtracs_wmo.v03r09.csv") 

ikashnitsky

################################################################################
#                                                    
# ikashnitsky.github.io 2017-07-18
# Accessing Eurostat data using the `eurostat` R package
# Young people neither in employment nor in education and training in Europe
# Ilya Kashnitsky, [email protected]
#                                                  
################################################################################

library(tidyverse)

halhen

code;name
01;Personal Care Activities
0101;Sleeping
0102;Grooming
0103;Health-related self care
0104;Personal Activities
0105;Personal Care Emergencies
0199;Personal care, n.e.c.*
02;Household Activities
0201;Housework

jhwheeler

Language Learning Techniques

Some of the techniques I've used to learn languages quickly and thoroughly:

1. Shadowing

2. Scriptorium

3. Side-by-Side Reading

benmarwick

library(tidyverse)
library(stringr)

# read in the transcript
# I simply copied the text from the page at
# https://www.washingtonpost.com/news/the-fix/wp/2016/09/26/the-first-trump-clinton-presidential-debate-transcript-annotated/
# and popped it into a txt file
xx <- scan("first_debate_2016.txt", "character")