mndrake

# originally from: http://stackoverflow.com/questions/42528400/plot-brushing-or-accessing-drawn-shape-geometry-for-spatial-subsets-in-shiny-lea
# uses https://github.com/bhaskarvk/leaflet.extras

library(shiny)
library(leaflet)
library(leaflet.extras)
library(sp)

cities <- structure(list(AccentCity = c("Saint Petersburg", "Harare", "Qingdao", 
                                        "Addis Abeba", "Xian", "Anshan", "Rongcheng", "Kinshasa", "New York", 

kyledrake

# The blog post that started it all: https://neocities.org/blog/the-fcc-is-now-rate-limited
#
# Current known FCC address ranges:
# https://news.ycombinator.com/item?id=7716915
#
# Confirm/locate FCC IP ranges with this: http://whois.arin.net/rest/net/NET-165-135-0-0-1/pft
#
# In your nginx.conf:

location / {

awoodruff

We've all seen the projected head from Elements of map projection with applications to map and chart construction, but the authors in 1921 did not have D3 to help them show a full range of weird distorted faces. This is based on the Map Projection Transitions example by Jason Davies.

nhoffman

import itertools

from openpyxl.reader.excel import load_workbook

def getrows(sheet, cols):
    headers = [c.value for c in sheet.rows[0] if c.value]
    for row in sheet.rows[1:]:
        d = dict(zip(headers, [c.value for c in row]))
        yield dict((k2, d[k1]) for k1,k2 in cols)