<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[myrobot1996的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/myrobot1996</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; myrobot1996]]></copyright><item><title><![CDATA[C#连接三菱PLC]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/147347508</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/147347508</guid><author>myrobot1996</author><pubDate>Sat, 19 Apr 2025 14:37:36 +0800</pubDate><description><![CDATA[C#连接三菱PLC，读写PLC地址]]></description><category></category></item><item><title><![CDATA[绿联Docker部署SakuraFrp应用]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/147344934</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/147344934</guid><author>myrobot1996</author><pubDate>Sat, 19 Apr 2025 09:15:37 +0800</pubDate><description><![CDATA[绿联NAS的Docker部署SakuraFrp应用]]></description><category></category></item><item><title><![CDATA[每日一练：打家劫舍，我的答案不对吗？各位看看]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/133710003</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/133710003</guid><author>myrobot1996</author><pubDate>Mon, 09 Oct 2023 17:43:54 +0800</pubDate><description><![CDATA[一个小偷，计划偷窃沿街的房屋。每间房内都藏有一定的现金，影响你偷窃的唯一制约因素就是相邻的房屋装有相互连通的防盗系统，如果两间相邻的房屋在同一晚上被小偷闯入，系统会自动报警。给定一个代表每个房屋存放金额的非负整数数组，计算不触动警报装置的情况下 ，一夜之内能够偷窃到的最高金额。]]></description><category></category></item><item><title><![CDATA[visual studio 2022 安装.net framework 4.5]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/129353627</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/129353627</guid><author>myrobot1996</author><pubDate>Mon, 06 Mar 2023 01:05:28 +0800</pubDate><description><![CDATA[visual studio 2022 安装.net framework4.5]]></description><category></category></item><item><title><![CDATA[Python3.9连接MySQL数据库]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/128542151</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/128542151</guid><author>myrobot1996</author><pubDate>Wed, 04 Jan 2023 09:04:00 +0800</pubDate><description><![CDATA[Python3.9连接MySQL数据库教程]]></description><category></category></item><item><title><![CDATA[insert into 语句的写法]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/111668411</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/111668411</guid><author>myrobot1996</author><pubDate>Fri, 25 Dec 2020 11:44:51 +0800</pubDate><description><![CDATA[insert into 语句的写法
方式1、 INSERT INTO t1(field1,field2) VALUE(v001,v002);
明确只插入一条Value
方式2、 INSERT INTO t1(field1,field2) VALUES(v101,v102),(v201,v202),(v301,v302),(v401,v402);
在插入批量数据时 方式2 优于 方式1.
【特注】当 id 为自增，即  id INT PRIMARY KEY AUTO_INCREMENT 时，执行 insert]]></description><category></category></item><item><title><![CDATA[Win10下kafka安装及测试教程]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/110187987</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/110187987</guid><author>myrobot1996</author><pubDate>Thu, 26 Nov 2020 16:20:22 +0800</pubDate><description><![CDATA[Win10下kafka安装及测试教程
一、准备材料
1、JDK1.8
下载链接：
2、kafka_2.12-2.6.0
下载链接：
示例：pandas 是基于NumPy 的一种工具，该工具是为了解决数据分析任务而创建的。
二、使用步骤
1.引入库
代码如下（示例）：
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filt]]></description><category></category></item><item><title><![CDATA[C#与MySQL连接]]></title><link>https://blog.youkuaiyun.com/myrobot1996/article/details/107940358</link><guid>https://blog.youkuaiyun.com/myrobot1996/article/details/107940358</guid><author>myrobot1996</author><pubDate>Tue, 11 Aug 2020 17:37:59 +0800</pubDate><description><![CDATA[C#与MySQL连接
下面展示一些 内联代码片。
加入引用MySql.Data

加上命名空间
using MySql.Data.MySqlClient;

连接字符串
string SC = "data source=localhost;database=mima;user id=root;password=123456;pooling=true;charset=utf8;";

执行语句
MySqlCommand cmd = new MySqlCommand(sql, conn);

//打开数据库
c]]></description><category></category></item></channel></rss>