<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Py4Fi的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Py4Fi</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Py4Fi]]></copyright><item><title><![CDATA[PD Python 精粹 2-1运算符、表达式和数据操作]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/138395241</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/138395241</guid><author>Py4Fi</author><pubDate>Thu, 02 May 2024 17:18:59 +0800</pubDate><description><![CDATA[Python 中的数据操作：迭代操作、序列操作、可变序列操作、Set 操作以及映射操作]]></description><category></category></item><item><title><![CDATA[算法交易库的 zipline 安装]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/137744031</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/137744031</guid><author>Py4Fi</author><pubDate>Sun, 14 Apr 2024 14:25:50 +0800</pubDate><description><![CDATA[zipline 是一个 Python 算法交易库。它是一个用于回测的事件驱动系统。]]></description><category></category></item><item><title><![CDATA[EPY Effective Python 用 zip 函数同时遍历两个迭代器]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/137570981</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/137570981</guid><author>Py4Fi</author><pubDate>Tue, 09 Apr 2024 23:00:39 +0800</pubDate><description><![CDATA[用 zip 函数同时遍历两个迭代器]]></description><category></category></item><item><title><![CDATA[NPBG2E 2 Numpy 基础]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/136978574</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/136978574</guid><author>Py4Fi</author><pubDate>Sun, 24 Mar 2024 00:34:46 +0800</pubDate><description><![CDATA[学习 NumPy 基础知识]]></description><category></category></item><item><title><![CDATA[PIA Pandas 数据分析实战 9 GroupBy 对象]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/136691997</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/136691997</guid><author>Py4Fi</author><pubDate>Thu, 14 Mar 2024 22:45:46 +0800</pubDate><description><![CDATA[pandas 库的 GroupBy 对象是一个存储容器，用于将 DataFrame 行分组到存储桶中。它提供了一组方法来聚合和分析集合中的每个独立组。它允许我们提取每个组中特定索引位置的行。它还提供了一种迭代行组的便捷方法。]]></description><category></category></item><item><title><![CDATA[PD Python 精粹 6-1 生成器]]></title><link>https://blog.youkuaiyun.com/Py4Fi/article/details/136520065</link><guid>https://blog.youkuaiyun.com/Py4Fi/article/details/136520065</guid><author>Py4Fi</author><pubDate>Wed, 06 Mar 2024 22:53:25 +0800</pubDate><description><![CDATA[生成器函数是 Python 最有趣、最强大的功能之一。]]></description><category></category></item></channel></rss>