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@jboner
jboner / latency.txt
Last active Dec 12, 2019
Latency Numbers Every Programmer Should Know
View latency.txt
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
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 — forked from jboner/latency.txt
Latency numbers every programmer should know
View latency.markdown

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns  = 250 µs
@sgillies
sgillies / geo_interface.rst
Last active Dec 11, 2019
A Python Protocol for Geospatial Data
View geo_interface.rst

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

@huyng
huyng / reflect.py
Created Feb 7, 2011
A simple echo server to inspect http web requests
View reflect.py
#!/usr/bin/env python
# Reflects the requests from HTTP methods GET, POST, PUT, and DELETE
# Written by Nathan Hamiel (2010)
from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from optparse import OptionParser
class RequestHandler(BaseHTTPRequestHandler):
def do_GET(self):
@lelandbatey
lelandbatey / whiteboardCleaner.md
Last active Dec 9, 2019
Whiteboard Picture Cleaner - Shell one-liner/script to clean up and beautify photos of whiteboards!
View whiteboardCleaner.md

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

@jasonrudolph
jasonrudolph / about.md
Last active Dec 8, 2019
Programming Achievements: How to Level Up as a Developer
View about.md
@fperez
fperez / ProgrammaticNotebook.ipynb
Last active Dec 3, 2019
Creating an IPython Notebook programatically
View ProgrammaticNotebook.ipynb
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@jaseemabid
jaseemabid / git tutorials.md
Last active Nov 30, 2019 — forked from netroy/git tutorials.md
Awesome git tutorials I am finding here and there
View git tutorials.md
@zflat
zflat / pg_migrate_steps.sh
Last active Nov 29, 2019
Migrate pg dump from Heroku to local sqlite3 development (and beyond)
View pg_migrate_steps.sh
# Export the Heroku PG database to a local dump file
# https://devcenter.heroku.com/articles/heroku-postgres-import-export#export
heroku pgbackups:capture
curl -o latest.dump `heroku pgbackups:url`
# Install postregs & Setup password
# https://help.ubuntu.com/community/PostgreSQL
# List databases
sudo -u postgres psql -l
@alysonla
alysonla / active-issues.sql
Last active Nov 28, 2019
Queries that power the open source section of the 2016 Octoverse report https://octoverse.github.com/
View active-issues.sql
-- Active issues
-- Count of total active issues in the specified time frame
-- Source: githubarchive public data set via Google BigQuery http://githubarchive.org/
SELECT
COUNT(DISTINCT JSON_EXTRACT_SCALAR(events.payload, '$.issue.id')) AS events_issue_count
FROM (SELECT * FROM TABLE_DATE_RANGE([githubarchive:day.],TIMESTAMP('2015-09-01'),TIMESTAMP('2016-08-31')))
AS events
-- 10,723,492 active issues
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