<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ITCLSJ的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ITCLSJ</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ITCLSJ]]></copyright><item><title><![CDATA[Python自动化办公（一）：将Word的简历写到固定的Excel表格中]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/116453171</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/116453171</guid><author>ITCLSJ</author><pubDate>Thu, 06 May 2021 14:41:05 +0800</pubDate><description><![CDATA[版权声明：本文为博主原创文章，未经博主允许不得转载。

文章目录一、要求二、格式三、代码
一、要求
公司有600份格式相同的简历，想通过程序按要求进行批量处理，将Word中的简历（格式一样）写到固定的Excel表格中。
二、格式
Word中的简历表信息如图所示：

目标的Excel表格式如图所示：

三、代码
整个项目分两部分，第一部分：先将Word的信息保存到Excel中，第二部分：从Excel中选定指定信息保存到固定的Excel表格中。
from docx import Document
import ]]></description><category></category></item><item><title><![CDATA[Python基础入门（一）：Pycharm 常用快捷键]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/116063916</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/116063916</guid><author>ITCLSJ</author><pubDate>Fri, 23 Apr 2021 17:20:21 +0800</pubDate><description><![CDATA[XX

]]></description><category></category></item><item><title><![CDATA[数据结构（一）：]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/116063595</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/116063595</guid><author>ITCLSJ</author><pubDate>Fri, 23 Apr 2021 17:14:11 +0800</pubDate><description><![CDATA[XX

]]></description><category></category></item><item><title><![CDATA[Python全栈 阶段（一）：基础入门 —— 习题汇总]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/116060668</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/116060668</guid><author>ITCLSJ</author><pubDate>Fri, 23 Apr 2021 16:24:01 +0800</pubDate><description><![CDATA[版权声明：本文为博主原创文章，未经博主允许不得转载。

文章目录一、1. 单选题二、2.多选题

一、1. 单选题

1.下列语句中能打印出Hello world的选项是（）

A Print(Hello world)
B print(hello world)
C print(‘hello world’)
D print(‘Hello world’)


二、2.多选题

...]]></description><category></category></item><item><title><![CDATA[ValueError: Variable XX/XX does not exist, or was not created with tf.get_variable().]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115857684</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115857684</guid><author>ITCLSJ</author><pubDate>Mon, 19 Apr 2021 10:15:53 +0800</pubDate><description><![CDATA[【报错描述】ValueError: Variable lsi/bias_global does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?
【原因分析】
【解决办法】
# 改前
with tf.variable_scope('lsi', reuse=true)

# 改后
with tf.variable_scope('lsi', reus]]></description><category></category></item><item><title><![CDATA[TypeError: ‘module‘ object is not callable]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115857185</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115857185</guid><author>ITCLSJ</author><pubDate>Mon, 19 Apr 2021 09:28:45 +0800</pubDate><description><![CDATA[【报错描述】TypeError: ‘module’ object is not callable（引入自定义类）
【原因分析】模块不可用，是因为导入的模块或者实例化对象有问题
【解决办法】
①第一种： import reader 导入的是reader这个模块（具体来说是reader.py这个文件），所以在实例化reader对象的时候需要加上模块名限定。
  df = reader.read_file(’./ml-1m/ratings.dat’, sep=’::’) 
② 第二种：导入reader模块的Sh.]]></description><category></category></item><item><title><![CDATA[推荐系统（三）：Python从零开始构建音乐推荐系统 —— ★★]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115729114</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115729114</guid><author>ITCLSJ</author><pubDate>Thu, 15 Apr 2021 16:02:38 +0800</pubDate><description><![CDATA[待补充

]]></description><category></category></item><item><title><![CDATA[推荐系统（二）：使用Tensorflow构造隐语义模型 —— MovieLens电影评分]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115728986</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115728986</guid><author>ITCLSJ</author><pubDate>Thu, 15 Apr 2021 16:00:33 +0800</pubDate><description><![CDATA[待补充

]]></description><category></category></item><item><title><![CDATA[error: Microsoft Visual C++ 14.0 is required]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115695731</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115695731</guid><author>ITCLSJ</author><pubDate>Wed, 14 Apr 2021 12:32:38 +0800</pubDate><description><![CDATA[【报错描述】安装surprise报错： 
① ERROR: Failed building wheel for scikit-surprise.
② error: Microsoft Visual C++ 14.0 is required. Get it with “Microsoft Visual C++ Build Tools”: http://landinghub.visualstudio.com/visual-cpp-build-tools

【原因分析】 python3 是用 VC++ 14 编.]]></description><category></category></item><item><title><![CDATA[2021年4月程序员工资统计排行]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115632894</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115632894</guid><author>ITCLSJ</author><pubDate>Tue, 13 Apr 2021 14:27:45 +0800</pubDate><description><![CDATA[2021年4月全国招收程序员456577人。2021年4月全国程序员平均工资14596元，工资中位数12500元，其中96%的人的工资介于2500元到65000元。
城市排名




排名
city
平均工资
最低工资
中位数
最高工资
招聘人数
百分比




1
北京
18166
5250
16000
45000
38742
9.36%


2
上海
17470
5250
16500
44165
75834
18.32%


3
深圳
16943
5250
15500
45000
64389
15.55]]></description><category></category></item><item><title><![CDATA[推荐系统（一）：使用Surprise库建立推荐系统 —— MovieLens电影推荐]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115465621</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115465621</guid><author>ITCLSJ</author><pubDate>Tue, 06 Apr 2021 17:16:48 +0800</pubDate><description><![CDATA[提示：文档
文章目录一、pandas是什么？二、使用步骤1.引入库

一、pandas是什么？
示例
二、使用步骤
1.引入库
XX

]]></description><category></category></item><item><title><![CDATA[2020 IT人才技能图谱]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115398402</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115398402</guid><author>ITCLSJ</author><pubDate>Fri, 02 Apr 2021 14:50:01 +0800</pubDate><description><![CDATA[文章目录一、知识图谱汇总二、获取方式

一、知识图谱汇总



二、获取方式

免费获取方式：在学习的过程中，请加微：InitialHeart2021  备注：知识图谱


]]></description><category></category></item><item><title><![CDATA[深度学习实战（五）：Seq2Seq序列排序生成模型——文本摘要：Seq2seq + Attention]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115355366</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115355366</guid><author>ITCLSJ</author><pubDate>Wed, 31 Mar 2021 17:12:55 +0800</pubDate><description><![CDATA[提示：文章写完后，目录可以自动生成，如何生成可参考右边的帮助文档

文章目录前言一、pandas是什么？1.引入库

前言
提示：这里可以添加本文要记录的大概内容：
例如：随着人工智能的不断发展，机器学习这门技术也越来越重要，很多人都开启了学习机器学习，本文就介绍了机器学习的基础内容。

一、pandas是什么？
1.引入库

...]]></description><category></category></item><item><title><![CDATA[程序员在线笔记推荐]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115178575</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115178575</guid><author>ITCLSJ</author><pubDate>Thu, 25 Mar 2021 11:25:19 +0800</pubDate><description><![CDATA[1.官网地址


https://mubu.com/


2.领取高级版


30天（新注册用户）：
&nbsp;&nbsp;&nbsp; https://mubu.com/inv/7857108（这是博主的邀请码）
　 
15天：关注幕布微信服务号送15天！
&nbsp;&nbsp;&nbsp;  https://mubu.com/vip_present/mubu003

2020年9月15日 14点48分 新增抖音 90天高级版
&nbsp;&nbsp;&nbsp; https://mubu.com/v]]></description><category></category></item><item><title><![CDATA[深度学习实战（四）：Seq2Seq序列排序生成模型——序列排序：Seq2seq]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/115177581</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/115177581</guid><author>ITCLSJ</author><pubDate>Wed, 24 Mar 2021 15:23:10 +0800</pubDate><description><![CDATA[版权声明：本文为博主原创文章，未经博主允许不得转载。

文章目录前言一、Seq2Seq（sequence-to-sequence）1.网络架构二、XX1.XX2.XXXX

前言
XX

一、Seq2Seq（sequence-to-sequence）
1.网络架构





二、XX
1.XX
XX
2.XX
XX
XX
提示

版权声明：本文为博主原创文章，未经博主允许不得转载。

...]]></description><category></category></item><item><title><![CDATA[深度学习实战（三）：利用RNN与LSTM网络实战——LSTM进行情感分析]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/114919962</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/114919962</guid><author>ITCLSJ</author><pubDate>Wed, 17 Mar 2021 11:02:49 +0800</pubDate><description><![CDATA[待补充

]]></description><category></category></item><item><title><![CDATA[深度学习实战（二）：利用RNN与LSTM网络实战——Tensorflow打造歌词生成网络]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/114919910</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/114919910</guid><author>ITCLSJ</author><pubDate>Wed, 17 Mar 2021 11:01:47 +0800</pubDate><description><![CDATA[待补充

]]></description><category></category></item><item><title><![CDATA[深度学习实战（一）：利用RNN与LSTM网络实战——Tensorflow打造唐诗生成网络]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/114639974</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/114639974</guid><author>ITCLSJ</author><pubDate>Wed, 10 Mar 2021 16:53:47 +0800</pubDate><description><![CDATA[代码部分

]]></description><category></category></item><item><title><![CDATA[深度学习实战（六）：生成式对抗网络（Gan）上篇 —— 理论--简介与算法原理]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/114384786</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/114384786</guid><author>ITCLSJ</author><pubDate>Fri, 05 Mar 2021 10:22:50 +0800</pubDate><description><![CDATA[待补充

]]></description><category></category></item><item><title><![CDATA[深度学习实战（六）：生成式对抗网络（Gan）下篇 —— 代码--基于tensorflow实现]]></title><link>https://blog.youkuaiyun.com/ITCLSJ/article/details/114384201</link><guid>https://blog.youkuaiyun.com/ITCLSJ/article/details/114384201</guid><author>ITCLSJ</author><pubDate>Fri, 05 Mar 2021 10:18:43 +0800</pubDate><description><![CDATA[一、程序代码
# 【一】导入必要的包
import argparse  # 参数解析包：解析命令行参数和选项
import numpy as np  # 科学计算的库，可以提供矩阵运算
from scipy.stats import norm  # scipy数值计算库
import tensorflow as tf
import matplotlib.pyplot as plt  # matplotlib绘图库
import seaborn as sns  # 数据模块可视化
from matplotli]]></description><category></category></item></channel></rss>