<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Cannta的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Cannta</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Cannta]]></copyright><item><title><![CDATA[【产品经理】01 产品经理基础、分类、职责、发展]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/143977635</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/143977635</guid><author>Cannta</author><pubDate>Fri, 13 Dec 2024 15:43:58 +0800</pubDate><description><![CDATA[产品的共性：解决某个问题产品：能够解决某个问题的东西就是产品产品的区别：有形的产品：颜色、形状、质地、尺寸（电脑，笔筒…）无形的产品：脑力劳动成果(课程服务)、数字化商品或服务(微信，抖音…)"产品"从“生产源头”到“消费者手中”经历了哪些过程？每个过程对应什么角色？想清楚(产品经理) -> 做出来(研发) -> 卖出去(运营推广)产品经理：想清楚产品怎么做的人。]]></description><category></category></item><item><title><![CDATA[【python基础】07 - 列表、列表的增删查改与复制、列表的逆置与排序]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132883323</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132883323</guid><author>Cannta</author><pubDate>Thu, 14 Sep 2023 17:58:19 +0800</pubDate><description><![CDATA[列表可以一次性存储多个数据，且可以为不同数据类型(但实际应用中建议一个列表中存放的数据类型是一致的)]]></description><category></category></item><item><title><![CDATA[【openpyxl】记录02 - 访问一个单元格、访问多个单元格、仅访问工作表的值]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132811449</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132811449</guid><author>Cannta</author><pubDate>Mon, 11 Sep 2023 17:36:56 +0800</pubDate><description><![CDATA[注意：当创建一个worksheet时，它不包含仍和cell。这些cell是在首次被访问时创建的。可以返回A2处的单元格，如下面的代码所示，当前A2位置的值为空。首先按照如下代码，创建一个excel命名为test.xlsx。可以查看当前cell的值。我们可以给单元格直接赋值。循环遍历工作表中的所有。，并且只返回单元格的值。]]></description><category></category></item><item><title><![CDATA[【openpyxl】记录01 - Workbook、Worksheet的创建与相关操作]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132764925</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132764925</guid><author>Cannta</author><pubDate>Mon, 11 Sep 2023 15:55:39 +0800</pubDate><description><![CDATA[本系列为阅读openpyxl官方文档的心得记录，官方文档链接置于此处，欢迎大家共同学习官方文档链接：https://openpyxl.readthedocs.io/en/stable/]]></description><category></category></item><item><title><![CDATA[【python基础】06 - python字符串、下标（索引）、切片、String常用方法]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132800773</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132800773</guid><author>Cannta</author><pubDate>Mon, 11 Sep 2023 14:53:21 +0800</pubDate><description><![CDATA[注意，引号两两匹配。]]></description><category></category></item><item><title><![CDATA[【python基础】05 - while循环、break和continue、for循环、while...else... & for...else...]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132759564</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132759564</guid><author>Cannta</author><pubDate>Fri, 08 Sep 2023 16:00:40 +0800</pubDate><description><![CDATA[循环在break的时候会产生循环非正常退出，这里不再赘述，类比while…while循环 非正常 退出的情况：break执行了，else就不执行了。break和continue是循环中满足一定条件退出循环的两种不同方式。循环和else配合使用，else下方的代码是。]]></description><category></category></item><item><title><![CDATA[【python基础】04 - if条件语句，随机数的生成random，三目运算符]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132753308</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132753308</guid><author>Cannta</author><pubDate>Fri, 08 Sep 2023 10:31:34 +0800</pubDate><description><![CDATA[python中的三目运算符 “表达式2 if 表达式1 else 表达式3”类比C语言中的三目运算符 “表达式1？表达式2 : 表达式3”如果表达式1为true, 返回表达式2，否则，返回表达式3。如果表达式1为true, 返回表达式2，否则，返回表达式3。import 模块名。]]></description><category></category></item><item><title><![CDATA[【python基础】03 - python数据类型的转换、运算符、数字之间的逻辑运算]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132736630</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132736630</guid><author>Cannta</author><pubDate>Thu, 07 Sep 2023 16:07:23 +0800</pubDate><description><![CDATA[数字之间的逻辑运算，常用的是and\or运算符，主要判断条件是‘0’]]></description><category></category></item><item><title><![CDATA[【python基础】02 - 变量定义、python数据类型、格式化输出、转义字符、print结束符、输入]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132693443</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132693443</guid><author>Cannta</author><pubDate>Tue, 05 Sep 2023 17:38:36 +0800</pubDate><description><![CDATA[Debug工具是pyCharm IDE中所集成的用来调试程序的工具。这种方法并不推荐，因为在输出时，每一个字符串后都会添加上一个空格。，因此我们会发现两个连续的print总会默认换行。这种方法不算是格式化输出，只是在这里提一下。如上述代码所示，和C语言非常类似，记住几个。不推荐使用，还是建议用匹配的符号。python中，print()- %d：有符号的十进制整数。其余的需要了再去搜索即可。]]></description><category></category></item><item><title><![CDATA[【python基础】 01 - python解释器、Pycharm、python注释]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132685477</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132685477</guid><author>Cannta</author><pubDate>Tue, 05 Sep 2023 15:25:54 +0800</pubDate><description><![CDATA[解释器的作用：将代码翻译成计算机能够识别的0、1序列。]]></description><category></category></item><item><title><![CDATA[【数据分析】xlwings对比两个excel并高亮显示修改部分]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132365696</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132365696</guid><author>Cannta</author><pubDate>Fri, 18 Aug 2023 17:15:27 +0800</pubDate><description><![CDATA[在两个文件中都高亮显示不同的区域，便于对比修改痕迹。按照以上步骤，即可得到想要的对比高亮效果。]]></description><category></category></item><item><title><![CDATA[【python报错】AttributeError: ‘DataFrame‘ object has no attribute ‘append‘]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132356137</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132356137</guid><author>Cannta</author><pubDate>Fri, 18 Aug 2023 10:29:34 +0800</pubDate><description><![CDATA[这个错误的产生通常由于利用pandas的append()方法为DataFrame对象添加新行导致，事实上，。]]></description><category></category></item><item><title><![CDATA[【数据分析】python判断excel单元格是否为空]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132323945</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132323945</guid><author>Cannta</author><pubDate>Wed, 16 Aug 2023 17:46:41 +0800</pubDate><description><![CDATA[python判断单元格是否为空，主要利用pandas的两个方法，先导入pandas模块读取含有空值单元格的excel文件。]]></description><category></category></item><item><title><![CDATA[【Pandas】python处理excel之简单的匹配替换]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132319026</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132319026</guid><author>Cannta</author><pubDate>Wed, 16 Aug 2023 14:42:36 +0800</pubDate><description><![CDATA[结果展示：规定路径下生成新excel文件。① 导入pandas模块。]]></description><category></category></item><item><title><![CDATA[【Jupyter】Jupyter Lab安装与启动]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132193878</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132193878</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 23:44:38 +0800</pubDate><description><![CDATA[見るだけで自然と身につくPythonデータ分析Python数据分析（数据挖掘）实战项目教程Python处理Excel，实战办公自动化。]]></description><category></category></item><item><title><![CDATA[【数据分析】Python处理excel之“数值替换”与“数值排序”]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132304238</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132304238</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 18:02:04 +0800</pubDate><description><![CDATA[【代码】【数据分析】Python处理excel之“数值替换”与“数值排序”]]></description><category></category></item><item><title><![CDATA[【数据分析】python操作excel之数据的选择]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132302862</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132302862</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 17:11:53 +0800</pubDate><description><![CDATA[数据的选择。]]></description><category></category></item><item><title><![CDATA[【数据分析】Pandas处理excel--导入+保存xlsx]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132299753</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132299753</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 15:28:45 +0800</pubDate><description><![CDATA[首先实现安装好pandas（pip命令安装）本节案例数据表lesson4.xlsx。]]></description><category></category></item><item><title><![CDATA[【数据分析】Pandas 之 Series & DataFrame]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132297568</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132297568</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 14:13:50 +0800</pubDate><description><![CDATA[是基于 numpy 的一个数据分析包，主要目的是为了数据分析，提供了大量数据结构以及数据处理方法。本节主要介绍这两个数据结构。]]></description><category></category></item><item><title><![CDATA[【数据分析】python基础快速入门，超快（02）]]></title><link>https://blog.youkuaiyun.com/Cannta/article/details/132295450</link><guid>https://blog.youkuaiyun.com/Cannta/article/details/132295450</guid><author>Cannta</author><pubDate>Tue, 15 Aug 2023 12:27:18 +0800</pubDate><description><![CDATA[【代码】【数据分析】python基础快速入门，超快（02）]]></description><category></category></item></channel></rss>