<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[无名的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/namelessml</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; namelessml]]></copyright><item><title><![CDATA[CentOS 7防火墙设置开放80端口]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/121614710</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/121614710</guid><author>namelessml</author><pubDate>Mon, 29 Nov 2021 17:13:29 +0800</pubDate><description><![CDATA[firewall-cmd --zone=public --add-port=80/tcp --permanent
#--permanent #永久生效，没有此参数重启后失效
systemctl restart firewalld.service


]]></description><category></category></item><item><title><![CDATA[centos ruby]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/121610164</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/121610164</guid><author>namelessml</author><pubDate>Mon, 29 Nov 2021 17:01:45 +0800</pubDate><description><![CDATA[[root@bogon LiDeploy-master]# rake secret
rake aborted!
cannot load such file -- bundler/setup
/var/www/html/LiDeploy-master/config/boot.rb:3:in `&lt;top (required)&gt;'
/var/www/html/LiDeploy-master/config/application.rb:1:in `&lt;top (required)&gt;'
/var]]></description><category></category></item><item><title><![CDATA[LAMP +phpMyAdmin 安装]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/121525331</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/121525331</guid><author>namelessml</author><pubDate>Wed, 24 Nov 2021 21:48:46 +0800</pubDate><description><![CDATA[apache安装
sudo apt install apache2
sudo service apache2 start
http://localhost


]]></description><category></category></item><item><title><![CDATA[修改CentOS语言]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/108463514</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/108463514</guid><author>namelessml</author><pubDate>Tue, 08 Sep 2020 10:33:51 +0800</pubDate><description><![CDATA[修改CentOS语言

vi /etc/profile


LANG = "en_US.UTF-8"
export PATH USER LOGNAME MAIL HOSTNAME HISTSIZE HISTCONTROL LANG


source /etc/profile


]]></description><category></category></item><item><title><![CDATA[看IMEI和IMSI]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77976448</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77976448</guid><author>namelessml</author><pubDate>Thu, 14 Sep 2017 09:58:04 +0800</pubDate><description><![CDATA[看IMEI和IMSI]]></description><category></category></item><item><title><![CDATA[Mysql技巧]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77876810</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77876810</guid><author>namelessml</author><pubDate>Thu, 07 Sep 2017 08:45:39 +0800</pubDate><description><![CDATA[一、慎用Float数据类型float类型是根据IEEE754标准使用二进制格式编码实数数据，对于一些小数，比如59.95，float类型会存储了二进制中最接近59.95的值，用十进制表示等于59.950000762939。SELECT * FROM t_refresh WHERE rate = 59.95  
Result:empty set;no rows match,  因为rate的实际存储值]]></description><category></category></item><item><title><![CDATA[Python技巧]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77876712</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77876712</guid><author>namelessml</author><pubDate>Thu, 07 Sep 2017 08:15:36 +0800</pubDate><description><![CDATA[一、从二维数据表中提取某列数据>>> lst = [(1,2,3), (1,2,3), (1,2,3)]
>>> lst = [t[2] for t in lst]
>>> lst
[3, 3, 3]二、二维数据表中数据转置>>> lst = [(1,2,3), (1,2,3), (1,2,3)]
>>> list(zip(*lst))
[(1, 1, 1), (2, 2, 2), (3, 3, 3]]></description><category></category></item><item><title><![CDATA[MySQL数据表操作]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77770907</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77770907</guid><author>namelessml</author><pubDate>Fri, 01 Sep 2017 11:20:55 +0800</pubDate><description><![CDATA[清空MySQL数据库中的数据1、DELETE  FROM tbName 
2、TRUNCATE TABLE tbName 
3、效率上TRUNCATE比DELETE快，truncate删除后不记录日志，不可恢复数据； delete的效果类似将记录逐条删除； 而truncate相当于保留表结构，重建表，状态相当于新表。修改表1、]]></description><category></category></item><item><title><![CDATA[C# MySql DevExpress开发遇到的编码问题]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77547505</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77547505</guid><author>namelessml</author><pubDate>Fri, 25 Aug 2017 08:51:18 +0800</pubDate><description><![CDATA[1、Mysql编码都设置成了UTF8，可通过命令查看：SHOW VARIABLES LIKE 'character_set_%';2、Mysql里面存储了有藏文、阿拉伯字母、希伯来文的UTF8编码的文字。在Mysql GUI（Workbench，Navicat）下直接使用SELECT语句，这些文字会显示乱码； 
3、使用SET NAMES UTF8; SELECT * FROM tablename;]]></description><category></category></item><item><title><![CDATA[通过Plink，SOCKS上网]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77542493</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77542493</guid><author>namelessml</author><pubDate>Thu, 24 Aug 2017 21:48:21 +0800</pubDate><description><![CDATA[1、远程一台Linux主机2、通过下面命令，打开本地的1080端口连接上去：plink.exe -N username@IP  -pw password -D 127.0.0.1:10803、配置本地的FirefoxSOCKS主机：127.0.0.1
端口：1080
选择 SOCKS v5
复选 远程DNS]]></description><category></category></item><item><title><![CDATA[MySQL大数据量分页SQL语句优化]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/77234624</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/77234624</guid><author>namelessml</author><pubDate>Wed, 16 Aug 2017 11:23:26 +0800</pubDate><description><![CDATA[http://blog.sina.com.cn/s/blog_a98ea0d90101qsua.html分页程序原理很简单，这里就不多说了，本篇文章主要说的是在数据表记录量比较大的情况下，如何将分页SQL做到更优化，让MySQL执行的更快的方法。 
一般的情况下，我们的分页SQL语句是这样的： 
查看代码 打印 
1 
SELECT * FROM table ORDER BY id LIMIT 10]]></description><category></category></item><item><title><![CDATA[Python非官方安装包]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/76533819</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/76533819</guid><author>namelessml</author><pubDate>Tue, 01 Aug 2017 15:40:04 +0800</pubDate><description><![CDATA[国内下载Python的各种官方安装包，速度较慢。一个非官方的安装包网站：http://www.lfd.uci.edu/~gohlke/pythonlibs/]]></description><category></category></item><item><title><![CDATA[MongoDB 杂]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/76414517</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/76414517</guid><author>namelessml</author><pubDate>Mon, 31 Jul 2017 09:32:20 +0800</pubDate><description><![CDATA[MongoDB的服务启动，简单命令，以及Python操作MongoDB]]></description><category></category></item><item><title><![CDATA[Python操作Mongodb]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/76333914</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/76333914</guid><author>namelessml</author><pubDate>Sat, 29 Jul 2017 15:48:12 +0800</pubDate><description><![CDATA[http://www.cnblogs.com/diaosir/p/6507178.html]]></description><category></category></item><item><title><![CDATA[MongoDB高级查询详细]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/76269085</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/76269085</guid><author>namelessml</author><pubDate>Fri, 28 Jul 2017 16:26:21 +0800</pubDate><description><![CDATA[http://www.cnblogs.com/knowledgesea/p/4634464.html]]></description><category></category></item><item><title><![CDATA[[MLLib]二、MLLib基本数据类型]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/54020511</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/54020511</guid><author>namelessml</author><pubDate>Wed, 04 Jan 2017 16:10:50 +0800</pubDate><description><![CDATA[MLLib提供了一系列基本数据类型以支持底层的机器学习算法。主要类型包括：本地向量、标注点（Labeled Point）、本地矩阵、分布式矩阵等。单机模式存储的本地向量与矩阵，以及基于一个或多个RDD的分布式矩阵。其中本地向量与本地矩阵作为公共接口提供简单数据模型，底层的线性代数操作有Breeze库和jblas库提供。标注点类型用来表示监督学习（Supervised Leaning）中的一个训练样本]]></description><category></category></item><item><title><![CDATA[[MLLib]一、Spark MLLib介绍]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/54016662</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/54016662</guid><author>namelessml</author><pubDate>Wed, 04 Jan 2017 10:36:13 +0800</pubDate><description><![CDATA[一、机器学习是一门人工智能的科学。利用数据或以往的经验，以此优化计算机程序的性能标准。英文定义：
  A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in]]></description><category></category></item><item><title><![CDATA[【网络攻防】第一章 准备]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/53821752</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/53821752</guid><author>namelessml</author><pubDate>Thu, 22 Dec 2016 22:23:24 +0800</pubDate><description><![CDATA[一、简介 
1.1 什么时黑客 
黑客，电脑专家 
红客，维护国家利益 
骇客，破解者1.2入侵步骤 
1.搜索 
了解对象，手段：1，在Internet搜索,2，社会工程3，垃圾数据搜寻4，域名信息收集5，非侵入性的网络扫描。难以防范 
2.扫描 
使用扫描软件对目标进行扫描，寻找潜在漏洞，含以下信息：1、每台局域网、广域网设备的品牌和型号2、开放的端口及服务（80端口、邮件服务等）3、操作系统在]]></description><category></category></item><item><title><![CDATA[[完]Hadoop中DataNode在格式化Namenode后无法启动。]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/53218768</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/53218768</guid><author>namelessml</author><pubDate>Fri, 18 Nov 2016 16:45:46 +0800</pubDate><description><![CDATA[一般情况下，出现这个问题的原因是namenode和datanode的clusterID不一致。namenode每次格式化时，会更新clusterID，但是datanode只会在首次格式化时确定，因此就造成不一致现象。]]></description><category></category></item><item><title><![CDATA[[完]机器学习实战 第十四章 利用SVD简化数据]]></title><link>https://blog.youkuaiyun.com/namelessml/article/details/52987113</link><guid>https://blog.youkuaiyun.com/namelessml/article/details/52987113</guid><author>namelessml</author><pubDate>Mon, 31 Oct 2016 21:38:11 +0800</pubDate><description><![CDATA[本章内容：
SVD矩阵分解
推荐引擎
利用SVD提升推荐引擎的性能
餐馆可分为很多类别，不同的专家对其分类可能有不同依据。实际中，我们可以忘掉专家，从数据着手，可对记录用户关于餐馆观点的数据进行处理，并从中提取出其背后的因素。这些因素可能会与餐馆的类别、烹饪时采用的某个特定配料，或其他任意对象一致。然后，可利用这些因素来估计人们对没有去过的餐馆的看法。提取这些信息的方法称为奇异值分解（Singula]]></description><category></category></item></channel></rss>