As configured in my dotfiles.
start new:
tmux
start new with session name:
urlencode() { | |
# urlencode <string> | |
old_lc_collate=$LC_COLLATE | |
LC_COLLATE=C | |
local length="${#1}" | |
for (( i = 0; i < length; i++ )); do | |
local c="${1:$i:1}" | |
case $c in |
python3 -c 'import sys, yaml, json; y=yaml.safe_load(sys.stdin.read()); print(json.dumps(y))' |
#!/usr/bin/env ruby | |
=begin | |
= Geographic Searches With Postgres's Earthdistance and Cube Extensions | |
This program shows how to easily create a Postgres database that uses the Cube | |
and Earthdistance extensions to perform fast queries on geographic data. | |
Briefly, the problem this code solves is "show me all places within 50 | |
kilometers of New York City." |
As configured in my dotfiles.
start new:
tmux
start new with session name:
#!/bin/bash | |
# bash generate random alphanumeric string | |
# | |
# bash generate random 32 character alphanumeric string (upper and lowercase) and | |
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1) | |
# bash generate random 32 character alphanumeric string (lowercase only) | |
cat /dev/urandom | tr -dc 'a-z0-9' | fold -w 32 | head -n 1 |
#include <Python.h> | |
#include <numpy/arrayobject.h> | |
#include "chi2.h" | |
/* Docstrings */ | |
static char module_docstring[] = | |
"This module provides an interface for calculating chi-squared using C."; | |
static char chi2_docstring[] = | |
"Calculate the chi-squared of some data given a model."; |
I'm hunting for the best solution on how to handle keeping large sets of DB records "sorted" in a performant manner.
Most of us have work on projects at some point where we have needed to have ordered lists of objects. Whether it be a to-do list sorted by priority, or a list of documents that a user can sort in whatever order they want.
A traditional approach for this on a Rails project is to use something like the acts_as_list
gem, or something similar. These systems typically add some sort of "postion" or "sort order" column to each record, which is then used when querying out the records in a traditional order by position
SQL query.
This approach seems to work fine for smaller datasets, but can be hard to manage on large data sets with hundreds (or thousands) of records needing to be sorted. Changing the sort position of even a single object will require updating every single record in the database that is in the same sort group. This requires potentially thousands of wri
// -*- coding: utf-8 -*- | |
// 参考: 床井研究室 - (4) シェーダの追加 | |
// http://marina.sys.wakayama-u.ac.jp/~tokoi/?date=20120909 | |
package main | |
import ( | |
gl "github.com/chsc/gogl/gl33" | |
"github.com/jteeuwen/glfw" | |
"log" | |
"unsafe" |
#SOA Manifesto
In 2002, Jeff Bezos (CEO of Amazon), issued a mandate requiring all teams to expose their data and functionality through services interfaces. Jeff Bezos understood that in order for his company to be successful, he had to switch focus from creating a "perfect product" to creating a perfect platform for that product.
He mandated that: