9000 likes

Tutorial"}). Pretty ()where by = ' Rookie Tutorial 'Less than {} db.col.find ({"likes": {$lt:)}. Pretty () Where likes Less than or equal to {}} db.col.find ({"likes": {$lte:]}). Pretty ( ) where likes Greater than {} db.col.find ({"likes": {$gt:}}). Pretty ()where

1. basic usage of shell variables and usage of common symbolsThis section requires writing out the shell commands that implement the requirements , showing(1) Change the main prompt to the user's home directory name( Hint: reference material 4.6.8 section Environment variables PS1 and home usage)(2) Assign the string DOS file c:>\ $student \* to the variable x and display it(Tip: Note the choice of quotation marks while ensuring that multiple spaces, $, *, and so on in the string are displaye

services, greatly increased maintainability, This is one of the reasons why fcgi and other similar patterns are so popular. However, it is because of this model, but also brings a number of problems. For example, the "Nginx File Parsing Vulnerability" released by 80sec last year is actually a problem because of fcgi and Webserver's understanding of the script path-level parameters. In addition, since fcgi and webserver are communicated through the network, more and more clusters will be fcgi di

application", modify the port number such as 9000, select allow anonymous access, enter the application pool to configure the account and password (domain administrator account), and select the default value for other options, click "OK" to create a web application. (After successful creation, we will find that the "SharePoint 9000" folder is added to the "application pool" and "website" in IIS. In the sam

Hadoop. tmp. DIR is the basic configuration that the hadoop file system depends on. Many Paths depend on it. Its default location is under/tmp/{$ user}, but the storage in the/tmp path is insecure, because the file may be deleted after a Linux restart. After following the steps in the Single Node setup section of hadoop getting start, the pseudo-distributed file is running. How can I change the default hadoop. tmp. dir path and make it take effect? Follow these steps: 1. Edit CONF/core-site.

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-' Created on 2014-8-12@author:guaguastd@name:friends_likes_number.py ' ' # Impot loginfrom Login Import facebook_login# Import helper#from Helper import pp# import itemgetter from operator import I temgetter# Import prettytablefrom prettytable import prettytable# access to Facebookfacebook_api = Facebook_login () # get F Riends like through single request#friends_like = Facebook_api.get_object (' Me ', fields= ' Id,name,friends.fields (ID, Name,

We need to start thinking about how to translate a collection of text into quantifiable things. The easiest way to do this is to consider word frequency. I will try not to use NLTK and Scikits-learn packages. We first use Python to explain some basic concepts. Basic frequency First, let's review how to get the number of words in each document: a frequency vector. #examples taken from here:http://stackoverflow.com/a/1750187 mydoclist = [' Julie loves me more than Linda loves me ' c3/

　　Note: All of the following code is written in the Linux eclipse.1. First test the files downloaded from HDFs:code to download the file: ( download the hdfs://localhost:9000/jdk-7u65-linux-i586.tar.gz file to the local/opt/download/doload.tgz) PackageCn.qlq.hdfs;ImportJava.io.FileOutputStream;Importjava.io.IOException;Importorg.apache.commons.compress.utils.IOUtils;Importorg.apache.hadoop.conf.Configuration;ImportOrg.apache.hadoop.fs.FSDataInputStrea

Equipped with the Spark cluster, first wrote two small examples with Pyspark, but found that the TAB key is not prompted, so the intention to go to Scala to try, in the Spark-shell under the hint, but found not to backspace, and the hint is not a copy, but the addition, so there is no way to write programs.Workaround:1. Open Session Options2. Terminal-emulation Select Linux in the terminal3. Map key Check two options4. This has been successful , but if the remote long-distance operation will int

Feb 13 16:07:38 BEIST 2015Errors in file/oracle/app/oracle/admin/+ ASM/bdump/+ asm2_lmon_582048.trc:ORA-27550: Target ID protocol check failed. tid vers = % d, type = % d, remote instance number = % d, local instance number = % dLMON: terminating instance due to error 27550Fri Feb 13 16:07:39 BEIST 2015System state dump is made for local instanceFri Feb 13 16:07:39 BEIST 2015Errors in file/oracle/app/oracle/admin/+ ASM/bdump/+ asm2_diag_614754.trc:ORA-27550: Target ID protocol check failed. tid

0Yungsang/dockerui Docker API version:v1.8 UI version:v0.4 ... 0Sidd/dockerui Dockerui 0Rediceli/dockerui Dockerui with Nginx for basic auth 0Devalih/dockerui to Run:docker pulling Devalih/dockerui do ... 0Biibds/dockerui 0Pemcconnell/dockerui 0Eternitech/dockerui 0Unws/dockerui Dockerui is a web interface for the Docker ... 0 [OK]C0710204/dockerui 0 [OK]Wansc/dockerui 0 [OK]Allincloud/dockerui 0 [OK]Sigmonsays/dockerui 0 [OK]Run a container in the background:[email protected] ~]# Docker run-d-

(demographic-based recommendation)Discover the relevance of items or content based on the metadata of recommended items or content, known as Content-based recommendations (content-based recommendation)Depending on the user's preference for items or information, the relevance of the item or content itself, or the discovery of the user's relevance, is referred to as the recommendation based on collaborative filtering (collaborativefiltering-based recommendation).3, according to the establishment

Using Python to create a vector space model for text, We need to start thinking about how to convert a set of texts into quantifiable things. The simplest method is to consider word frequency. I will try not to use NLTK and Scikits-Learn packages. First, we will use Python to explain some basic concepts. Basic Term Frequency First, let's review how to get the number of words in each document: A Word Frequency Vector. #examples taken from here: http://stackoverflow.com/a/1750187 mydoclist = ['Jul

MongoDB. COLLECTION_NAME.find ({$ or: [{key1: value1}, {key2: value2}]}). pretty () You can use the following operations to query certain conditions of a file: Operation Syntax Example RDBMS equivalent Equality { Db. mycol. find ({"by": "tutorials point"}). pretty () Where by = 'tutorials point' Less { Db. mycol. find ({"likes": {$ lt: 50}). pretty () Where l