Fatih Pense fatihpense

Moved to git repository: https://github.com/denji/golang-tls

Generate private key (.key)

# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048

# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

Awesome PHP

Awesome PHP has been relocated permanently to its own Github repository. No further updates will made to this gist.

Please open an issue for any new suggestions.

	import org.wasmer.Instance;
	import org.wasmer.Memory;

	import java.io.IOException;
	import java.nio.ByteBuffer;
	import java.nio.file.Files;
	import java.nio.file.Paths;

	class MemoryExample {
	public static void main(String[] args) throws IOException {

	public class NamedParamStatement {
	public NamedParamStatement(Connection conn, String statementWithNames) throws SQLException {
	Pattern findParametersPattern = Pattern.compile("(?<!')(:[\\w]*)(?!')");
	Matcher matcher = findParametersPattern.matcher(statementWithNames);
	while (matcher.find()) {
	fields.add(matcher.group().substring(1));
	}
	prepStmt = conn.prepareStatement(statementWithNames.replaceAll(findParametersPattern.pattern(), "?"));
	}

	import os, sys
	import subprocess, signal
	import time

	from bs4 import BeautifulSoup
	import selenium as sl
	from selenium.webdriver import Firefox, FirefoxProfile

	URL = 'https://www.usefulservice.com/'

	// A small utility to resize images inside folder (including subfolder).
	package main

	import (
	"fmt"
	"flag"
	"math"
	"os"
	"io/ioutil"
	"os/exec"

	package main

	import (
	"fmt"
	"time"
	)

	// Suggestions from golang-nuts
	// http://play.golang.org/p/Ctg3_AQisl

	doInstall <- TRUE # Change to FALSE if you don't want packages installed.
	toInstall <- c("ggplot2")
	if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
	lapply(toInstall, library, character.only = TRUE)

	# Generate some randomly-distributed data
	nObs <- 5000
	myData <- data.frame(X = rnorm(nObs), Y = rnorm(nObs))
	nClusters <- 7 # Cluster it
	kMeans <- kmeans(myData, centers = nClusters)

	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