<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[dSAAFAD的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/dSAAFAD</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; dSAAFAD]]></copyright><item><title><![CDATA[2021年安徽省大数据与人工智能应用竞赛大数据-本科组赛题]]></title><link>https://blog.youkuaiyun.com/dSAAFAD/article/details/120797884</link><guid>https://blog.youkuaiyun.com/dSAAFAD/article/details/120797884</guid><author>dSAAFAD</author><pubDate>Sat, 16 Oct 2021 14:05:22 +0800</pubDate><description><![CDATA[今天大数据比赛结束了,放在百度网盘中,给大家做一下参考

提取码adsahttp://2021年安徽省大数据与人工智能应用竞赛 大数据-本科组赛题
]]></description><category></category></item><item><title><![CDATA[Hive的配置与搭建]]></title><link>https://blog.youkuaiyun.com/dSAAFAD/article/details/120741518</link><guid>https://blog.youkuaiyun.com/dSAAFAD/article/details/120741518</guid><author>dSAAFAD</author><pubDate>Wed, 13 Oct 2021 16:33:15 +0800</pubDate><description><![CDATA[以下所需要的压缩包已通过百度网盘分享,zixin



一.安装MySQL

1.rpm -qa|grep -i mysql 查看MySQL是否安装





2.rpm -e --nodeps mysql-libs-5.1.71-1.el6.x86_64删除系统自带MySQL





3.tar -vxf MySQL-5.5.54-1.linux2.6.x86_64.rpm-bundle.tar -C /opt/modules/

将MySQL-5.5.54-1.linux2.6.x86_64上传到..]]></description><category></category></item><item><title><![CDATA[[Python数据分析] pandas库基础]]></title><link>https://blog.youkuaiyun.com/dSAAFAD/article/details/120583842</link><guid>https://blog.youkuaiyun.com/dSAAFAD/article/details/120583842</guid><author>dSAAFAD</author><pubDate>Sat, 02 Oct 2021 10:33:06 +0800</pubDate><description><![CDATA[pandas库是一个基于numpy、专门为数据分析而设计的库,该库不仅提供了大量模块及一些标准的数据模型,而且提供了高效操作数据集的数据结构,被广泛地应用到众多领域中.



1.Series


# Series类对象的结构类似一维数组,主要由数据和索引组成,数据可以是任意类型
# pandas.Series(data(传入数据)=None, index(传入索引)=None, dtype(数据类型)=None, name(Series类对象名称)=None, copy(复制数据)=False)

imp]]></description><category></category></item><item><title><![CDATA[[Python] 使用Matplotlib库画图]]></title><link>https://blog.youkuaiyun.com/dSAAFAD/article/details/120484892</link><guid>https://blog.youkuaiyun.com/dSAAFAD/article/details/120484892</guid><author>dSAAFAD</author><pubDate>Sun, 26 Sep 2021 12:41:54 +0800</pubDate><description><![CDATA[1.绘制直线


import matplotlib.pyplot as plt

# 绘图,将点(0, 1)和点 (2, 6)连接
plt.plot([0, 2], [1, 8])

# 显示图片
plt.show()



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