| #!/usr/local/bin/python | |
| import urllib | |
| import urllib2 | |
| import re | |
| import json | |
| import htmlentitydefs | |
| import cookielib | |
| LOGIN,PASSWD = "yourlogin@someemail.com", "yourpassword" |
| object Sql { | |
| import scala.reflect.makro._ | |
| import language.experimental.macros | |
| case class Query[R](/*sql: String*/) | |
| def execute[R](q: Query[R]): Seq[R] = sys.error("implement me") | |
| def sqlImpl(c: Context)(s: c.Expr[String]): c.Expr[Any] = { | |
| import c.universe._ |
This is a really simple implementation of a bloom filter using Redis 2.6's lua scripting facility.
Though it "works", it's just a proof of concept. The choice and implementation of hashing functions leave something to be desired (I'm sure it's a fine implementation of CRC32 that I borrowed, but it's in pure lua, and, well, CRC32 is not the best function to use for a bloom filter).
Caveat Emptor, no refunds, etc. MIT License.
| library(plyr); library(dplyr); library(leaflet); library(stringi); | |
| library(htmltools); library(RColorBrewer); library(rvest) | |
| # Parse and read storm track data. | |
| html <- read_html('http://weather.unisys.com/hurricane/atlantic/2016/index.php') | |
| links <- html_attr(html_nodes(html, "a"), "href") | |
| links <- links[grep('track.dat', links)] | |
| track <- select.list(links, title="Select storm:", graphics = FALSE) | |
| #track <- "MATTHEW/track.dat" |
| /* sample aggregate command queries */ | |
| // make sure we're using the right db; this is the same as "use mydb;" in shell | |
| db = db.getSisterDB("aggdb"); | |
| // just passing through fields | |
| var p1 = db.runCommand( | |
| { aggregate : "article", pipeline : [ | |
| { $project : { | |
| tags : 1, | |
| pageViews : 1 |
| git clone git://git.fedorahosted.org/virt-manager.git | |
| cd virt-manager | |
| sudo port -v install intltool py27-pygtk | |
| sudo python setup.py install | |
| ;; In response to blog post: | |
| ;; https://medium.com/@kasperpeulen/10-features-from-various-modern-languages-that-i-would-like-to-see-in-any-programming-language-f2a4a8ee6727 | |
| ;; Run with lumo | |
| ;; https://github.com/anmonteiro/lumo | |
| ;; | |
| ;; # npm install -g lumo-cljs | |
| ;; lumo clojurescript-feature-examples.cljs |
| #!/usr/bin/env python | |
| """ | |
| A script to query the Amazon Web Services usage reports programmatically. | |
| Ideally this wouldn't exist, and Amazon would provide an API we can use | |
| instead, but hey - that's life. | |
| Basically takes your AWS account username and password, logs into the | |
| website as you, and grabs the data out. Always gets the 'All Usage Types' |
| # Optimized for writes, sort on read | |
| # LVC | |
| redis.hset("bonds|1", "bid_price", 96.01) | |
| redis.hset("bonds|1", "ask_price", 97.53) | |
| redis.hset("bonds|2", "bid_price", 95.50) | |
| redis.hset("bonds|2", "ask_price", 98.25) | |
| redis.sadd("bond_ids", 1) | |
| redis.sadd("bond_ids", 2) |
| #!/bin/bash | |
| # unfortunately debian currently panics in xhyve | |
| tmp=$(mktemp -d) | |
| pushd "$tmp" | |
| iso="$HOME"/Downloads/debian-8.1.0-amd64-netinst.iso | |
| #iso="$HOME"/Downloads/debian-8.1.0-i386-netinst.iso | |
| echo "fixing disk" | |
| dd if=/dev/zero bs=2k count=1 of=tmp.iso |
