| float phi = (sqrt(5)+1)/2; | |
| size(323,200); | |
| translate(height/phi,0); | |
| scale(height); | |
| noStroke(); | |
| smooth(); | |
| for (float i=0; i<10; i++) { | |
| fill(i/10*255); |
| #!/usr/bin/env python | |
| # distance_from_shore.py: compute true distance between points | |
| # and closest geometry. | |
| # shaun walbridge, 2012.05.15 | |
| # TODO: no indexing used currently, could stand if performance needs | |
| # improving (currently runs in ~1.5hr for 13k points) | |
| from geopy import distance |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
| all_tracts = lapply(income, function(county) | |
| lapply(county$tracts, function(tract) as.data.frame(c(county[1:3],tract)))) | |
| all_tracts_temp = lapply(all_tracts, function(county) as.data.frame(do.call(rbind, county))) | |
| income_df = as.data.frame(do.call(rbind, all_tracts_temp)) | |
| summary(income_df) | |
| ff = as.numeric(income_df$medianIncome) | |
| ff = as.numeric(as.character(income_df$medianIncome)) | |
| income_df$medianIncome = as.numeric(as.character(income_df$medianIncome)) |
We love solving puzzles at Priceonomics. We also like meeting people who like to solve puzzles. Here are two interesting puzzles we've faced at some point in the past months that we'd like to share with you.
If you have any questions, contact [email protected].
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>crime clusters</title> | |
| <script | |
| src='http://mapbox-js.s3.amazonaws.com/mapbox.js/v0.5.5/mapbox.js'></script> | |
| <script type='text/javascript' | |
| src='http://mapbox.com/clustr/dist/clustr.min.js'></script> | |
| <style> | |
| body { margin:0;font: 14px/20px 'Helvetica', 'Helvetica Neue'; background:#eee; } |
| #!/bin/sh | |
| ### | |
| # SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
| # For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
| ### | |
| # Alot of these configs have been taken from the various places | |
| # on the web, most from here | |
| # https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
| ;; based on core.logic 0.8-alpha2 or core.logic master branch | |
| (ns sudoku | |
| (:refer-clojure :exclude [==]) | |
| (:use clojure.core.logic)) | |
| (defn get-square [rows x y] | |
| (for [x (range x (+ x 3)) | |
| y (range y (+ y 3))] | |
| (get-in rows [x y]))) |
| var CONSUMER_KEY = "<< YOUR KEY HERE >>"; | |
| var CONSUMER_SECRET = "<< YOUR SECRET HERE >>"; | |
| function getConsumerKey() { | |
| return CONSUMER_KEY; | |
| } | |
| function getConsumerSecret() { | |
| return CONSUMER_SECRET; | |
| } |
| #!/bin/bash | |
| # License: Public Domain. | |
| # Author: Joseph Wecker, 2012 | |
| # | |
| # -- DEPRICATED -- | |
| # This gist is slow and is missing .bashrc_once | |
| # Use the one in the repo instead! https://github.com/josephwecker/bashrc_dispatch | |
| # (Thanks gioele) | |
| # | |
| # Are you tired of trying to remember what .bashrc does vs .bash_profile vs .profile? |
