agricolamz

library(lingtypology); library(tidyverse)
df <- read_csv("knowledge_russian_in_Daghestan.csv")

# old way -----------------------------------------------------------------
df %>% 
  filter(year_of_birth_dec == 1910) ->
  v_1910
map.feature(v_1910$Language,
            features = v_1910$lang_knowledge,
            latitude = v_1910$Lat,

BrikerMan

from gensim.models import KeyedVectors

# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)

import io

# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""

etrushkin

#!/usr/bin/python
# -*- coding: utf-8 -*-

# http://stackoverflow.com/questions/5574702/how-to-print-to-stderr-in-python
from __future__ import print_function
import sys
def eprint(*args, **kwargs):
    print(*args, file=sys.stderr, **kwargs)

import errno

bergeycm

plot.kitty = function () {

	library(jpeg) 
	
	temp.cat = tempfile()
	download.file("http://thecatapi.com/api/images/get?format=src&type=jpg", 
					destfile=temp.cat)
	
	kitty	= readJPEG(temp.cat)
	

slowkow