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# every couple of days at 2PM run git repo backup
0 14 */2 * * /home/git/runBackup.sh

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worker_processes 4;

events {
        worker_connections 1024;
}

http {

        ##
        # Basic Settings

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# REQUEST NORMAL LOGS
# once a day at 23:50
50 23 * * * <full-path>/appcfg.py -A <gae-application-name> -M <module-name> -V <version-name> --oauth2 --include_all --append -n 1 request_logs <full-path>/`date +\%y-\%m-\%d`.log

# REQUEST LOGS WITH WARNING AND SEVERE INFOS 
# once a day at 23:50
50 23 * * * <full-path>/appcfg.py -A <gae-application-name> -M <module-name> -V <version-name> --oauth2 --include_all --append -n 1 --severity=2 request_logs <full-path>/`date +\%y-\%m-\%d`-full.log

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input {
      file {
        type => "gae"
        path => ["/home/ubuntu/gae_logs/**/*log"]
        tags => ["some","tags"] 
        stat_interval => 30
        discover_interval => 180
      }
}

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[global]


   workgroup = WORKGROUP

   server string = %h server

   wins support = yes

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# Remove all stopped containers.
docker rm $(docker ps -a -q)

# Remove all untagged images
docker rmi $(docker images | grep "^<none>" | awk "{print $3}")

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public boolean solution(int[] A) {
	if(isArrayInNonDecreasingOrder(A)) {
		return true;
	}
        for(int i=0; i<A.length; i++) {
        	for(int j=0; j < A.length; j++) {
        		if(i!=j) {
        			int[] testArray = A.clone();
            			int tempValue = testArray[i];
            			testArray[i]=testArray[j];

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Flash image to SD card

This is a list of disk images to flash on SD card in order to natively run docker on your Raspberry: hypriot download page:

From command line:

flash --hostname <host-name> <url-to-download-the-os-from>

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ogr2ogr -f "GeoJSON" california_geojson.json tl_2010_06_zcta510.shp
topojson -o california_topojson.json california_geojson.json

convert counties and zipcode shapefiles to GeoJson

ogr2ogr -f "GeoJSON" working/counties.geo.json assets/ca/counties.shp
ogr2ogr -f "GeoJSON" working/zipcodes.geo.json source/tl_2010_06_zcta510.shp

# merge two shapefils

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import numpy as np
import pandas as pd
from pandas_datareader import data as web
from sklearn import linear_model

class ScikitBacktest(object):
    def __init__(self,sys):
        self.lags = 5
        self.symbol = sys
        self.get_data()