Hao ilovejs

## Tail Recursion Fibonacci Sequence
public class TailRecursion {
	//implement fibonacci function
	public static void main(String[] args) {
		TailRecursion t = new TailRecursion();
		int normal = t.nFibo(9);
		System.out.println(normal);
		int tail = t.tailFibo(9);
		System.out.println(tail);
	}
	//normal calculation

## Directory_Parser.java
import java.io.File;
import java.io.FileFilter;
import java.io.FileWriter;
import java.io.IOException;

public class Dparser {
	FileWriter out = null;

	public Dparser(){
		try {

## gist:2935166
# Back-Propagation Neural Networks
# another way: solve it as a Regression Problem
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string

## gist:4214270
package main

import (
	"net/http"
	"net/url"
	"log"
	"io/ioutil"
	"regexp"
	"fmt"
	//"net/http/httputil"

## svmflag.py
import numpy as np
import pylab as pl
import pandas as pd

from sklearn import svm
from sklearn import linear_model
from sklearn import tree

from sklearn.metrics import confusion_matrix

## avr_clock
; It is assumed that the following connections on the board are made:
; LCD D0-D7 -> PD0-PD7
; LCD BE-RS -> PA0-PA3
; These ports can be changed if required by replacing all references to the ports with a
; different port. This means replacing occurences of DDRx, PORTx and PINx.

.include "m64def.inc"
.def temp =r16
.def data =r17
.def del_lo = r18

## server.r
if (!require(quantmod)) {
  stop("This app requires the quantmod package. To install it, run 'install.packages(\"quantmod\")'.\n")
}

# Download data for a stock if needed, and return the data
require_symbol <- function(symbol, envir = parent.frame()) {
  if (is.null(envir[[symbol]])) {
    envir[[symbol]] <- getSymbols(symbol, auto.assign = FALSE)
  }

## frontendDevlopmentBookmarks.md

      
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                ilovejs
                / frontendDevlopmentBookmarks.md
            
            
              Created
              July 2, 2013 13:14
                — forked from dypsilon/frontendDevlopmentBookmarks.md
            
          
    Frontend Development

Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.


## column height.html
<!DOCTYPE HTML>
<html>
<head>
<meta charset="UTF-8">
<title>column height</title>
<!--[if lt IE 9]>
<script src="http://html5shiv.googlecode.com/svn/trunk/html5.js"></script>
<![endif]-->
<style>
/*

## javascript-tips.js
str.replace(/David/g, "Darren"); // "Darren is an Arsenal fan, which means Darren is great"

var clone = myArray.slice(0); // naive clone

var nodesArr = Array.prototype.slice.call(document.querySelectorAll("div")); // "true" array of DIVs

var argsArr = Array.prototype.slice.call(arguments); // changes arguments to "true" array


[
	public class TailRecursion {
	//implement fibonacci function
	public static void main(String[] args) {
	TailRecursion t = new TailRecursion();
	int normal = t.nFibo(9);
	System.out.println(normal);
	int tail = t.tailFibo(9);
	System.out.println(tail);
	}
	//normal calculation
	import java.io.File;
	import java.io.FileFilter;
	import java.io.FileWriter;
	import java.io.IOException;

	public class Dparser {
	FileWriter out = null;

	public Dparser(){
	try {
	# Back-Propagation Neural Networks
	# another way: solve it as a Regression Problem
	# Written in Python. See http://www.python.org/
	# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
	# Neil Schemenauer <nas@arctrix.com>

	import math
	import random
	import string
	package main

	import (
	"net/http"
	"net/url"
	"log"
	"io/ioutil"
	"regexp"
	"fmt"
	//"net/http/httputil"
	import numpy as np
	import pylab as pl
	import pandas as pd

	from sklearn import svm
	from sklearn import linear_model
	from sklearn import tree

	from sklearn.metrics import confusion_matrix
	; It is assumed that the following connections on the board are made:
	; LCD D0-D7 -> PD0-PD7
	; LCD BE-RS -> PA0-PA3
	; These ports can be changed if required by replacing all references to the ports with a
	; different port. This means replacing occurences of DDRx, PORTx and PINx.

	.include "m64def.inc"
	.def temp =r16
	.def data =r17
	.def del_lo = r18
	if (!require(quantmod)) {
	stop("This app requires the quantmod package. To install it, run 'install.packages(\"quantmod\")'.\n")
	}

	# Download data for a stock if needed, and return the data
	require_symbol <- function(symbol, envir = parent.frame()) {
	if (is.null(envir[[symbol]])) {
	envir[[symbol]] <- getSymbols(symbol, auto.assign = FALSE)
	}
	<!DOCTYPE HTML>
	<html>
	<head>
	<meta charset="UTF-8">
	<title>column height</title>
	<!--[if lt IE 9]>
	<script src="http://html5shiv.googlecode.com/svn/trunk/html5.js"></script>
	<![endif]-->
	<style>
	/*
	str.replace(/David/g, "Darren"); // "Darren is an Arsenal fan, which means Darren is great"

	var clone = myArray.slice(0); // naive clone

	var nodesArr = Array.prototype.slice.call(document.querySelectorAll("div")); // "true" array of DIVs

	var argsArr = Array.prototype.slice.call(arguments); // changes arguments to "true" array


	[