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# 图片 https://www.kaggle.com/benhamner/python-data-visualizations/notebook

# First, we'll import pandas, a data processing and CSV file I/O library
import pandas as pd

# We'll also import seaborn, a Python graphing library
import warnings # current version of seaborn generates a bunch of warnings that we'll ignore
warnings.filterwarnings("ignore")
import seaborn as sns
import matplotlib.pyplot as plt

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t := time.Unix(1362984425, 0)
nt := t.Format("2006-01-02 15:04:05")
fmt.Println(nt)

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var idx = $scope.adverts.indexOf(adv);
if (idx > -1) {
   $scope.adverts.splice(idx, 1);
}
notify("删除成功!")

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for _, module := range moduleList {
   mongodb.ExecBulk(mongodb.GetMgoSession(), DiscoveryOrderTable, func(bulk *mgo.Bulk) {
      bulk.Insert(module)
   })
}

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package main

import (
	"flag"
	"fmt"
	"linkedin/bootstrap"
	config_handler "linkedin/handler/config"
	"linkedin/log"
	"linkedin/middleware"
	"linkedin/xlnt/handler/experiment"

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	client := &http.Client{}
	req, _ := http.NewRequest("GET", url, nil)
	res, err := client.Do(req)
	bodyBytes, _ := ioutil.ReadAll(res.Body)
	fmt.Println("body is", string(bodyBytes))

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package main

import (
	"bufio"
	"fmt"
	"log"
	"os"
)

func main() {

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func main() {
	serv := bootstrap.Service(make(map[string]bool))
	serv.DefaultInit()
	//serv.EnableESRedis()
	bootstrap.Init(serv)

	var seg jiebago.Segmenter
	seg.LoadDictionary("/Users/xiuchen/Projects/chitu/html/relevance_share/dict_jieba.txt")

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func IP4toInt(IPv4Addr string) int64 {
	IPv4Int := big.NewInt(0)
	IPv4Int.SetBytes(net.ParseIP(IPv4Addr).To4())
	return IPv4Int.Int64()
}